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JACIII

Journal of Advanced Computational Intelligence and Intelligent Informatics

ISSN : 1343-0130(Print) / 1883-8014(Online)
DOI : 10.20965/jaciii.issn.1883-8014
Honorary Editor : Lotfi A. Zadeh (University of California)
Editors-in-Chief :Kaoru Hirota (Beijing Institute of Technology),
Toshio Fukuda (Nagoya University)

Indexed in ESCI, Scopus, Compendex (Ei), DOAJ

ESCI

[Scopus]

  • In Cooperation with :
  • International Fuzzy Systems Association (IFSA), Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT), Brazilian Society of Automatics (SBA), The Society of Instrument and Control Engineers (SICE), John von Neumann Computer Society (NJSZT), Vietnamese Fuzzy Systems Society (VFSS), Fuzzy Systems and Intelligent Technologies Research Society of Thailand (FIRST), Korean Institute of Intelligent Systems (KIIS), Taiwanese Association for Artificial Intelligence (TAAI)

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Vol.11 (2007)

No.10

(Dec)

Selected Papers from InTech'05

Selected Papers from InTech'05

: pp. 1175-1176
Selected Papers from InTech’05
Jirapun Daengdej, Pratit Santiprabhob, Hung T. Nguyen, and Vladik Kreinovich

The main objective of the annual International Conference on Intelligent Technologies (InTech) is to bring together researchers and practitioners who implement intelligent and fuzzy technologies in real-world environment. The Sixth International Conference on Intelligent Technologies InTech was held in Phuket, Thailand, on December 14-16, 2005. Topics of InTech’05 included mathematical foundations of intelligent technologies, traditional Artificial Intelligent techniques, uncertainty processing and methods of soft computing, learning/adaptive systems/data mining, and applications of intelligent technologies. This special issue contains extended versions of 11 selected papers originally presented at InTech’05. These papers cover most of the topics of the conference. Several papers describe intelligent applications of traditional data processing and signal processing techniques. H. Sawada et al. use advanced signal processing techniques to separate it sounds coming from different directions and thus, to enable user to it control robots by voice in noisy environments. N. Theera-Umpon uses a techniques of selecting a Region of Interest to enhance the behavior of the signal processing techniques when it detecting buried landmines. N. Shigei et al. describe innovative vector quantization technique which improve it image compression. T. A. Duong et al. use entropy approach to automatically it detect different it chemicals in the air. A few papers describe new applications of fuzzy and computing-with-words techniques. J. Han et al. describe how fuzzy it clustering techniques can be enhanced when we take into account that different factors may have different importance and thus, must be taken with different weights. J. Y. Zhang et al. show how fuzzy techniques – specifically, fuzzy causal models – can improve the efficiency of computer systems for it e-commerce. I. Kobayashi et al. use a new techniques (similar to computing with words) that helps to it personalize help for software users. Several papers take into account that in real life, knowledge is it hierarchical, and decision making and control are also hierarchical. T. H. Tran et al. show how a hierarchical combination of PID control with sliding-mode controllers can lead to robust non-overshoot high quality it control. L. Ding describes general challenges and ideas related to the need to take into account the hierarchical character of our knowledge. Finally, two papers deal with radically new approaches to intelligent data processing. Y. Murai et al. propose a new efficient method of it representing objects in space, a method in which an object A is described by “distance field” d(x) – describing the distance from an arbitrary point x to this object A. K. Akama et al. describe a new general computation model that is extremely useful in it checking program correctness. We want to thank all the authors for their outstanding work, the participants of InTech’05 for their helpful suggestions, the anonymous reviewers for their thorough analysis and constructive help, and – last but not the least – to Professor Kaoru Hirota for his kind suggestion to host this issue and to the entire staff of the journal for their tireless work.

: pp. 1177-1183
A Robotic Auditory System that Interacts with Musical Sounds and Human Voices
Abstract
Hideyuki Sawada and Toshiya Takechi
: pp. 1184-1188
Unexploded Ordnance Detection Using Region of Interest in Range Domain of Ground Penetrating Radar
Abstract
Nipon Theera-Umpon
: pp. 1189-1196
Effective Multiple Vector Quantization for Image Compression
Abstract
Noritaka Shigei, Hiromi Miyajima, Michiharu Maeda, and Lixin Ma
: pp. 1197-1203
Space Invariant Independent Component Analysis and ENose for Detection of Selective Chemicals in an Unknown Environment
Abstract
Tuan A. Duong, Margaret A. Ryan, and Vu A. Duong
: pp. 1204-1208
An Iterative Approach for Fuzzy Clustering Based on Feature Significance
Abstract
Jianchao Han and Mohsen Beheshti
: pp. 1209-1215
A Qualitative Model for Service Oriented Computing
Abstract
Jian Ying Zhang, Hepu Deng, and Ryszard Kowalczyk
: pp. 1216-1223
Intelligent Help System that Synchronizes Application Software Operation: Toward Intelligent Tailor-Made Information Provision
Abstract
Ichiro Kobayashi and Tomoko Tsunawaki
: pp. 1224-1231
Robust Non-Overshoot Time Responses Using Cascade Sliding Mode-PID Control
Abstract
Thanh H. Tran, Quang P. Ha, and Hung T. Nguyen
: pp. 1232-1240
A Model of Hierarchical Knowledge Representation – Toward Knowware for Intelligent Systems
Abstract
Liya Ding
: pp. 1241-1249
Distance Field Model Concept for Space Representation
Abstract
Yasuyuki Murai, Suguru Asaoka, Hiroyuki Tsuji, Hisayuki Tatsumi, and Shinji Tokumasu
: pp. 1250-1261
State-Transition Computation Models and Program Correctness Thereon
Abstract
Kiyoshi Akama and Ekawit Nantajeewarawat
: pp. 1262-1273
Graph/Knot Theoretical Analysis and Generation for Impossible Figures
Abstract
Kento Tarui, Fangyan Dong, Yutaka Hatakeyama, and Kaoru Hirota
: pp. 1274-1280
Joint Attention Between a Human Being and a Partner Robot Based on Computational Intelligence
Abstract
Naoyuki Kubota, Toshiyuki Shimizu, and Minoru Abe

No.9

(Nov)

Special Issue on IEEE-ICCC 2006

Special Issue on IEEE-ICCC 2006

: p. 1061
IEEE-ICCC 2006
Béla Pátkai, J. A. Tenreiro Machado, and Imre J. Rudas

The study of systems and complexity has taken an intriguing route in the last hundred years, involved some of the most fascinating scientists, synthesised new fields of research and found novel applications requiring a fresh and revolutionary approach. Computational Cybernetics is a pragmatic response for the needs of engineering and social systems that integrates Cybernetics with Computational Intelligence. The IEEE International Conference on Computational Cybernetics (IEEE ICCC) has been successfully promoting the open-minded but scientifically sound integration of advanced mathematical and systems engineering methods in multidisciplinary domains since 2003. This special issue is a selection of the most characteristic and instructive papers from the previous IEEE ICCC conference, held in the summer of 2006 in Tallinn, Estonia. All of the papers in this issue represent vividly the broad scope and integrating nature of Computational Cybernetics. As Tar et al. notes in the first paper, a century-old conjecture of Hilbert solved fifty years ago can help us build new solutions in the 21st century in the field of nonlinear system control. In the same way each of the following papers represent a bridge between analogies from nature, computational methods and challenging multidisciplinary problems – helping us to convey our message to the professional audience of this journal. The special issue editors would like to thank the authors of the papers in this issue, the participants of the IEEE ICCC conferences for contributing to its stimulating, multidisciplinary environment and the professional support of the Journal editors and their staff.

: pp. 1062-1071
Comparison of Fractional Robust- and Fixed Point Transformations- Based Adaptive Compensation of Dynamic Friction
Abstract
József K. Tar, Imre J. Rudas, and Béla Pátkai
: pp. 1072-1078
Fractional Control of Coordinated Manipulators
Abstract
N. M. Fonseca Ferreira and J. A. Tenreiro Machado
: pp. 1079-1085
Experimental Signal Analysis of Robot Impacts in a Fractional Calculus Perspective
Abstract
Miguel F. M. Lima, J. A. Tenreiro Machado, and Manuel Crisóstomo
: pp. 1086-1091
Application of Fractional Calculus in the Control of Heat Systems
Abstract
Isabel S. Jesus and J. A. Tenreiro Machado
: pp. 1092-1098
Optimization of Genetic Operators for Scheduling Problems
Abstract
António Ferrolho and Manuel Crisóstomo
: pp. 1099-1106
Research on the Sheepdog Problem Using Cellular Automata
Abstract
Yoshinobu Adachi and Masayoshi Kakikura
: pp. 1107-1113
Supporting Lifecycle Management of Product Data by Organized Descriptions and Behavior Definitions of Engineering Objects
Abstract
László Horváth
: pp. 1114-1121
Feedback Control of an Inverted Pendulum by Use of Artificial Intelligence
Abstract
Webjørn Rekdalsbakken
: pp. 1122-1127
Computational Intelligence in Circuit Synthesis
Abstract
Cecília Reis and J. A. Tenreiro Machado
: pp. 1129-1135
Estimation of Protein Function Using Optimized Finite State Automaton Based on Accumulated Amino Acid Residue Scores
Abstract
Shinji Chiba and Ken Sugawara
: pp. 1136-1143
Arbitrary-Shaped Cluster Separation Using One-Dimensional Data Mapping and Histogram Segmentation
Abstract
Seiji Hotta, Senya Kiyasu, and Sueharu Miyahara
: pp. 1144-1148
Generalized Predictive Control in Flying Shear Equipment
Abstract
Jiun-Yaw Wang, Mao-Lin Chen, and Ching-Long Shih
: pp. 1149-1158
Double-Deck Elevator Group Supervisory Control System Using Genetic Network Programming with Ant Colony Optimization with Evaporation
Abstract
Lu Yu, Jin Zhou, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, and Sandor Markon
: pp. 1159-1164
Semi-Supervised Pattern Classification Utilizing Fuzzy Clustering and Nonlinear Mapping of Data
Abstract
Weiwei Du and Kiichi Urahama
: pp. 1165-1172
Predictive Control of Harmonic Drive in Automotive Application
Abstract
Ádam Varga and Béla Lantos

No.8

(Oct)

Selected Papers from SCIS & ISIS 2006 – No.3

Selected Papers from SCIS & ISIS 2006 – No.3

: p. 883
Selected Papers from SCIS & ISIS 2006 – No.3
Yasuhisa Hasegawa

This third special issue on papers from SCIS&ISIS 2006 draws its contents from a highly successful conference attracting 526 participants from 31 countries and 464 original papers, including 297 in 60 organized sessions. The invaluable contributions by the session organizers made this conference attractive and worthwhile in soft computing and advanced intelligent systems research. Having chaired the conference’s organized session committee, I wish to express my gratitude for their assistance. Some 42 selected papers have already been published in Volumes 1 and 2 of this special issue (Vol.11, Nos.6 and 7). The present volume introduces 22 papers from organized sessions in extended form after preliminary selection and review by session organizers, chairs, and international SCIS&ISIS 2006 program committees. These papers cover fields related to intelligent systems, ranging from theoretical to practical issues such as self-organizing maps, neural networks, fuzzy clustering, fuzzy control, intelligent robots, secure smart spaces, data mining, and intelligent communication systems. The guest editors believe that readers will be inspired by these highly interesting papers, which contain clues to exploring new and seminal ideas for that next step in research. I thank all of the authors and reviewers for the time and effort they put into this special issue. I am grateful to Prof. Toshio Fukuda of Nagoya University and to Prof. Kaoru Hirota of the Tokyo Institute of Technology for the opportunity to take part in this work.

: pp. 884-890
Maintaining Individual Diversity by Fuzzy c -Means Selection
Abstract
Yoshiaki Sakakura, Noriyuki Taniguchi, Yukinobu Hoshino, and Katsuari Kamei
: pp. 891-896
A Joint-Receipt Conjoint Structure and its Additive Representation
Abstract
Yutaka Matsushita
: pp. 897-904
Fuzzy Clustering Based on Total Uncertainty Degree
Abstract
Tomohito Esaki, Tomonori Hashiyama, and Yahachiro Tsukamoto
: pp. 905-913
Evolution and Learning Mediated by Differences in Developmental Timing
Abstract
Kei Ohnishi, Masato Uchida, and Yuji Oie
: pp. 914-921
Fuzzy Activity Network Method for Project Scheduling Under Resource Constraints
Abstract
Luong Duc Long and Ario Ohsato
: pp. 922-930
Adjustability of Neural Networks with Variant Connection Weights for Obstacle Avoidance in an Intelligent Wheelchair
Abstract
Toshihiko Yasuda, Hajime Tanaka, Kazushi Nakamura, and Katsuyuki Tanaka
: pp. 931-936
Soft-Target-Based Predictive Fuzzy Control for a Cart-Pendulum System with Dynamic Constraints
Abstract
Yougen Chen and Seiji Yasunobu
: pp. 937-945
Hardware Feedback Self-Organizing Map and its Application to Mobile Robot Location Identification
Abstract
Hiroomi Hikawa, Kazutoshi Harada, and Takenori Hirabayashi
: pp. 946-955
The Design of Central Pattern Generators Based on the Matsuoka Oscillator to Generate Rhythmic Human-Like Movement for Biped Robots
Abstract
Guang Lei Liu, Maki K. Habib, Keigo Watanabe, and Kiyotaka Izumi
: pp. 956-963
Particle Swarm Optimization for Jump Height Maximization of a Serial Link Robot
Abstract
Takeshi Matsui, Masatoshi Sakawa, Takeshi Uno, Kosuke Kato, Mitsuru Higashimori, and Makoto Kaneko
: pp. 964-971
Motion Overlap for a Mobile Robot to Express its Mind
Abstract
Kazuki Kobayashi and Seiji Yamada
: pp. 972-978
A Hybrid Learning Strategy for Real Hardware of Swing-Up Pendulum
Abstract
Shingo Nakamura, Ryo Saegusa, and Shuji Hashimoto
: pp. 979-988
Realization of Rapid Movement for Legged Entertainment Robots Using Two New Actuators, the Inertia Actuator and the Cam Charger
Abstract
Amir Ali Forough Nassiraei, Kazuo Ishii, Seiji Masakado, Takayuki Matsuo, Kodai Ichikawa, Hajime Fukushima, Masayuki Murata, Takashi Sonoda, Isao Takahira, and Tsutomu Miki
: pp. 989-997
Acquisition of Behavioral Patterns Depends on Self-Embodiment Based on Robot Learning Under Multiple Instructors
Abstract
Masato Kotake, Daisuke Katagami, and Katsumi Nitta
: pp. 998-1006
Training of Agent Positioning Using Human’s Instruction
Abstract
Hidehisa Akiyama, Daisuke Katagami, and Katsumi Nitta
: pp. 1007-1014
Anthropomorphization Framework for Human-Object Communication
Abstract
Hirotaka Osawa, Jun Mukai, and Michita Imai
: pp. 1015-1022
A Proposal of a Language-Based Context-Sensitive Programming System
Abstract
Toru Sugimoto, Noriko Ito, and Shino Iwashita
: pp. 1023-1029
Towards Building Secure Smart Spaces for Information Security in the Physical World
Abstract
Shun Hattori and Katsumi Tanaka
: pp. 1030-1042
Downsized Evolutionary Video Processing for Lips Tracking and Data Acquisition
Abstract
Takuya Akashi, Yuji Wakasa, Kanya Tanaka, Stephen Karungaru, and Minoru Fukumi
: pp. 1043-1048
Forest and Field Fire Search System Using MODIS Data
Abstract
Eiji Nunohiro, Kei Katayama, Kenneth J. Mackin, and Jong Geol Park
: pp. 1049-1058
Use of Fuzzy Neural Network in Diagnosing Postmenopausal Women with Osteoporosis Based on Dental Panoramic Radiographs
Abstract
Agus Zainal Arifin, Akira Asano, Akira Taguchi, Takashi Nakamoto, Masahiko Ohtsuka, Mikio Tsuda, Yoshiki Kudo, and Keiji Tanimoto

No.7

(Sep)

Selected Papers from SCIS & ISIS 2006 – No.2

Selected Papers from SCIS & ISIS 2006 – No.2

: p. 727
Selected Papers from SCIS & ISIS 2006 – No.2
Hajime Nobuhara

As mentioned in the editorial for the special issue on selected papers from SCIS & ISIS 2006 (No.1) by Dr. Naoyuki Kubota, the 3rd International Conference on Soft Computing and Intelligent Systems (SCIS) and the 7th International Symposium on Advanced Intelligent Systems (ISIS) have been highly successful with 464 original papers accepted for presentation and participants numbering 526. We have selected approximately 50 quality papers to be published in extended form in the Special Issue of the Journal of Advanced Computational Intelligence and Intelligent Informatics, following publication of the first volume (Vol.11, No.6) comprising 23 papers. This second volume of the SCIS & ISIS 2006 special issue includes 19 papers covering the cutting edge of computational intelligence, and the guest editors believe that readers will be inspired by the highly interesting contents containing clues to the new frontier of the computational intelligence. linebreak Related areas include image processing, control, sensor fusion, data/context/
network analysis, genetic algorithms, ontology, VHDL, game theory, and robotics among others.smallskip I would like to thank all the authors and reviewers for their valuable contributions in making this volume possible. I am also grateful to Editors-in-Chief Prof. Toshio Fukuda of Nagoya University and Prof. Kaoru Hirota of the Tokyo Institute of Technology, Dr. Toshiaki Murofushi who served as general chair of SICS & ISIS 2006, Dr. Naoyuki Kubota who was the SCIS & ISIS 2006 program chair, and the SCIS & ISIS 2006 conference staff for inviting me to serve as Guest Editor of this Journal. Last, I would like to thank the Fuji Technology Press staff, especially Dr. Kazuki Ohmori.

: pp. 728-734
Access Control and Scalable Encryption Using a Stream Cipher for JPEG 2000 Encoded Images
Abstract
Ayman Haggag, Mohamed Ghoneim, Jianming Lu, and Takashi Yahagi
: pp. 735-744
Fuzzy Sensor Fusion for Humanitarian Demining
Abstract
Zakarya Zyada, Yasuhiro Kawai, Takayuki Matsuno, and Toshio Fukuda
: pp. 745-750
Robust Output Feedback Guaranteed Cost Control of Uncertain Fuzzy Systems with Immeasurable Premise Variables
Abstract
Jun Yoneyama
: pp. 751-758
A Pseudo Data Generation Method and a Two-Stage Quantitation Method for Simultaneous Determination Sensor of Nucleotide Derivatives
Abstract
Akito Fukuda, Sayaka Kondo, Kenichi Maruyama, Koji Suzuki, and Masafumi Hagiwara
: pp. 759-766
Generation of Interesting Story from Picture Information
Abstract
Shigeru Kato and Takehisa Onisawa
: pp. 767-771
Applying SIP VoIP to Context-Aware Telephony
Abstract
Hsien-Chang Wang, Gu-Jun Chen, and Jenq-Muh Hsu
: pp. 772-779
Network Analysis of the Four Gospels and the Catechism of the Catholic Church
Abstract
Hajime Murai and Akifumi Tokosumi
: pp. 780-786
Neural Network Model for Word Sense Disambiguation Using Up/Down State and Morphoelectrotonic Transform
Abstract
Norifumi Watanabe and Shun Ishizaki
: pp. 787-792
Handwriting Recognition Applications for Tablet PCs
Abstract
Dat Tran, Wanli Ma, and Dharmendra Sharma
: pp. 793-802
Genetic Algorithm for the Optimization of Collaborative Systems
Abstract
Tad Gonsalves, Shinichiro Baba, and Kiyoshi Itoh
: pp. 803-816
Coincidence-Based Scoring of Mappings in Ontology Alignment
Abstract
Seyed H. Haeri (Hossein), Hassan Abolhassani, Vahed Qazvinian, and Babak Bagheri Hariri
: pp. 817-824
Automatic Generation of VHDL for Control Logic of Air Conditioning Using Evolutionary Computation
Abstract
Kazuyuki Kojima and Keiichi Watanuki
: pp. 825-832
A Study on Modeling Error Estimation for Mobile Robot Based on Coevolutionary Computation and Image Processing
Abstract
Halpage Chinthaka Nuwandika Premachandra, Hiroharu Kawanaka, Tomohiro Yoshikawa, Shinji Tsuruoka, and Tsuyoshi Shinogi
: pp. 833-841
In What Sense is “the Prisoner’s Dilemma Game” a Dilemma for a Human or a Programmed Agent?
Abstract
Shihomi Wada and Keiji Suzuki
: pp. 842-847
Knowledge Engineering and Embedded Systems Software: Educational Challenges
Abstract
Kosuke Imamura
: pp. 848-857
Local Character Tensors for 3D Registration Method on Free-View Datasets
Abstract
Jingjing Wang, Fangyan Dong, Yutaka Hatakeyama, Hajime Nobuhara, and Kaoru Hirota
: pp. 858-866
Network Distributed Monitoring System for Home Service Robots Based on RT Middleware
Abstract
Songmin Jia, Harunori Gakuhari, and Kunikatsu Takase
: pp. 867-874
Analyzing Usage of Indoor Space from Ecological Aspects Based on Constraint-Oriented Fuzzy Sets
Abstract
Tomoko Ohya, Masanori Shimamoto, Takayuki Shiose, Hiroshi Kawakami, and Osamu Katai
: pp. 875-879
Controlling Bus Suspension Using an Optimal Fuzzy Controller
Abstract
Tadeo Armenta and Miguel Strefezza

No.6

(Jul)

Selected Papers from SCIS & ISIS 2006 – No.1

Selected Papers from SCIS & ISIS 2006 – No.1

: p. 535
Selected Papers from SCIS & ISIS 2006 – No.1
Naoyuki Kubota

SCIS & ISIS is a biennial international joint conference in the field of soft computing and intelligent systems, including branches of researches from fuzzy systems, neural networks, evolutionary computation, multi-agent systems, artificial intelligence or robotics. SCIS & ISIS 2006 falls on the 3rd International Conference on Soft Computing and Intelligent Systems (SCIS) and the 7th International Symposium on Advanced Intelligent Systems (ISIS) held at Tokyo Institute of Technology, in Tokyo, Japan, on September 20-24, 2006. In this conference, 464 original papers were accepted for presentation and the number of attendees was 526. After preliminary selection and review made by the session chairs and the International Program Committees of SCIS & ISIS 2006, we have selected more than 50 papers to be published in extended form in the Special Issue of the Journal of Advanced Computational Intelligence and Intelligent Informatics. The accepted papers are published as the special issues in Vol.11, No.6, 7, and 8 in 2007. This current issue presents 23 papers and covers most of the topics of the conference including fuzzy theories, self-organizing maps, and the optimization of neural networks. The learning and search methods in computational intelligence and real-world applications to image processing, robotics and manufacturing systems are highlighted in this current issue. I would like to thank all the authors and reviewers for their contribution to make this special issue possible. I am also grateful to Prof. Toshio Fukuda, Nagoya University and Prof. Kaoru Hirota, Tokyo Institute of Technology, Editors-in-chief, for inviting me to serve as Guest Editor of this Journal.

: pp. 536-545
Fuzzy Concept Lattices Constrained by Hedges
Abstract
Radim Belohlavek and Vilem Vychodil
: pp. 546-553
Constructing Cost-Sensitive Fuzzy-Rule-Based Systems for Pattern Classification Problems
Abstract
Tomoharu Nakashima, Yasuyuki Yokota, Hisao Ishibuchi, Gerald Schaefer, Aleš Drastich, and Michal Závišek
: pp. 554-560
Unsupervised and Semi-Supervised Graph-Spectral Algorithms for Robust Extraction of Arbitrarily Shaped Fuzzy Clusters
Abstract
Weiwei Du and Kiichi Urahama
: pp. 561-569
Analysis of New Aggregation Operators: Mean 3Π
Abstract
Andrei Doncescu, Sebastien Regis, Katsumi Inoue, and Richard Emilion
: pp. 570-581
A Backward Feature Selection by Creating Compact Neural Network Using Coherence Learning and Pruning
Abstract
Md. Monirul Kabir, Md. Shahjahan, and Kazuyuki Murase
: pp. 582-592
A Minimal Neural Network Ensemble Construction Method: A Constructive Approach
Abstract
M. A. H. Akhand and Kazuyuki Murase
: pp. 593-599
An Optimal Design Method for Artificial Neural Networks by Using the Design of Experiments
Abstract
Eiichi Inohira and Hirokazu Yokoi
: pp. 600-609
Improved Estimation of Embedding Parameters of Nonlinear Time Series by Structural Learning of Neural Network with Fuzzy Regularizer
Abstract
Yusuke Manabe and Basabi Chakraborty
: pp. 610-619
Self-Organizing Fusion Neural Networks
Abstract
Jung-Hua Wang, Chun-Shun Tseng, Sih-Yin Shen, and Ya-Yun Jheng
: pp. 620-625
Neighbor Size of Initial Node Exchange and its Influence for SOM Learning
Abstract
Tsutomu Miyoshi
: pp. 626-632
Self-Organizing Map with Generating and Moving Neurons in Visible Space
Abstract
Kanta Tachibana and Takeshi Furuhashi
: pp. 633-640
Context Dependent Automatic Textile Image Annotation Using Networked Knowledge
Abstract
Yosuke Furukawa, Yusuke Kamoi, Tatsuya Sato, and Tomohiro Takagi
: pp. 641-647
Dyadic Curvelet Transform (DClet) for Image Noise Reduction
Abstract
Marjan Sedighi Anaraki, Fangyan Dong, Hajime Nobuhara, and Kaoru Hirota
: pp. 648-654
Edge Detection Model Based on Involuntary Tremors and Drifts of the Eye
Abstract
András Róka, Ádám Csapó, Barna Reskó, and Péter Baranyi
: pp. 655-661
A Method to Estimate the Multimedia Communication Bands Based upon Multi-Order Markov Model
Abstract
Tetsuya Kojima, Lkhamsuren Enkhtur, Akiko Fujiwara, and Masahiro Aono
: pp. 662-667
Fuzzy Observable Markov Models for Pattern Recognition
Abstract
Dat Tran, Wanli Ma, and Dharmendra Sharma
: pp. 668-676
Reinforcement Learning for Penalty Avoidance in Continuous State Spaces
Abstract
Kazuteru Miyazaki and Shigenobu Kobayashi
: pp. 677-680
Advanced Genetic Algorithms Based on Adaptive Partitioning Method
Abstract
Chang-Wook Han and Hajime Nobuhara
: pp. 681-687
Human Head Tracking Based on Particle Swarm Optimization and Genetic Algorithm
Abstract
Indra Adji Sulistijono and Naoyuki Kubota
: pp. 688-700
Multiresolutional Fusion of Perceptions Applied to Robot Navigation
Abstract
Özer Ciftcioglu, Michael S. Bittermann, and I. Sevil Sariyildiz
: pp. 701-708
GML Topology Data Storage Schema Design
Abstract
Yuzhen Li, Jianming Lu, Jihong Guan, Mingying Fan, Ayman Haggag, and Takashi Yahagi
: pp. 709-714
Implementation of Fixed-Point Control Algorithms Based on the Modified Delta Operator and Form for Intelligent Systems
Abstract
Tatsu Aoki
: pp. 715-723
Advanced Multiple Product Flexible Manufacturing System Modelling Using Coloured Petri Net
Abstract
Tauseef Aized, Koji Takahashi, and Ichiro Hagiwara

No.5

(Jun)

Regular papers

Regular Papers

: pp. 445-451
Color Restoration Algorithm Based on Color Instance Under Low Illumination
Abstract
Yutaka Hatakeyama, Akimichi Mitsuta, and Kaoru Hirota
: pp. 452-456
Generalized Net Model of Auditory Information Processing
Abstract
Vihren E. Chakarov, Krassimir T. Atanassov , and Anthony G. Shannon
: pp. 457-463
Unfolding of Massive Laundry and Classification Types by Dual Manipulator
Abstract
Fumiaki Osawa, Hiroaki Seki, and Yoshitsugu Kamiya
: pp. 464-468
Key Characteristics of Hymns
Abstract
Tatsuo Kamitani and Minoru Matsuda
: pp. 469-477
Optimization Method RasID-GA for Numerical Constrained Optimization Problems
Abstract
Dongkyu Sohn, Shingo Mabu, Kotaro Hirasawa, and Jinglu Hu
: pp. 478-490
Expanding Transformation: A Basis for Correctness Verification of Rewriting Rules
Abstract
Ekawit Nantajeewarawat, Kiyoshi Akama, and Hidekatsu Koike
: pp. 491-501
Discrimination of Sidewalk Surface Condition Based on Image Textures and Meteorological Information
Abstract
Handri Santoso and Kazuo Nakamura
: pp. 502-510
A Generalized Inference Method for Fuzzy Quantified and Truth-Qualified Natural Language Propositions
Abstract
Wataru Okamoto, Shun’ichi Tano, Atsushi Inoue, and Ryosuke Fujioka
: pp. 511-521
Classifying 3D Real-World Texture Images by Combining Maximum Response 8, 4th Order of Auto Correlation and Colortons
Abstract
Aram Kawewong and Osamu Hasegawa
: pp. 522-532
Interpretable Fuzzy Rules Acquisition of Coupled System Using Interactive Genetic Algorithms
Abstract
Dun-Yong Lu and Takehisa Onisawa

No.4

(Apr)

Selected Papers from TAAI2005

Selected Papers from TAAI2005

: p. 357
Selected Papers from TAAI2005
Wen-Yang Lin, Tzung-Pei Hong, and Shyi-Ming Chen

The annual Conference on Artificial Intelligence and Applications (TAAI), held in Taiwan and hosted by the Taiwanese Association of Artificial Intelligence and other academic institution, has expanded to an international forum following the success of its previous nine conferences. It hopes to bring together researchers and scholars in all areas of artificial intelligence from leading institutes and industries worldwide to exchange ideas on these hi-tech fields. Over 200 papers and 6 special issues consisting of 30 invited papers were presented, making TAAI 2005 the greatest in the TAAI series. This special issue presents 11 papers from this prestigious event, each of which has received outstanding recommendations from the reviewers and has been revised by authors for this publication. These papers detail a variety of applications of different artificial intelligent technologies, ranging from nonlinear programming, data classification, dynamic knowledge acquisition, and complex time-series prediction to liver disease classification and automatic Chinese text summarization. Some also deal with theoretical aspect of intelligent technologies, including genetic algorithms, neural networks, support vector machines, ant-colony algorithms, and pseudo-Boolean functions. This issue thus concisely summarizes recent advances in artificial intelligence and its applications. We are sure that you will find it a valuable resource in the AI research community, and hope that it will inspire our readers in the development of new applications and advanced intelligent systems. As guest editors of this special issue, we would like to express our sincere gratitude to all of the authors for contributing their work to this special issue and to thank the referees for their untiring efforts to complete reviews within a limited time. Thanks also go to Mr. Kazuki Ohmori of Fuji Technology Press for his kind assistance in the publication of this special issue. Last but not least, we thank JACIII Editor-in-Chief Kaoru Hirota for the enthusiastic hospitality with which JACIII has supported this special issue.

: pp. 358-364
Real-Coded Genetic Algorithm for Solving Generalized Polynomial Programming Problems
Abstract
Jui-Yu Wu and Yun-Kung Chung
: pp. 365-372
A Novel Neuro-Fuzzy Inference System with Multi-Level Membership Function for Classification Applications
Abstract
Cheng-Jian Lin, Chi-Yung Lee, and Cheng-Hung Chen
: pp. 373-380
Capturing Evolutional Knowledge Using Time Interval Tracing
Abstract
Shun-Chieh Lin, Chia-Wen Teng, and Shian-Shyong Tseng
: pp. 381-388
A Hybrid System ASVR/NGARCH Tuned by Quantum-Based Minimization to Improve Forecasting Accuracy
Abstract
Bao Rong Chang
: pp. 389-395
Classification Rule Extraction Based on Relevant, Irredundant Attributes and Rule Enlargement
Abstract
George Lashkia, Laurence Anthony, and Hiroyasu Koshimizu
: pp. 396-402
Classification of Liver Disease from CT Images Using a Support Vector Machine
Abstract
Chien-Cheng Lee, Sz-Han Chen, and Yu-Chun Chiang
: pp. 403-409
Asymptotic Behavior of Linear Approximations of Pseudo-Boolean Functions
Abstract
Guoli Ding, Robert F. Lax, Peter Chen, and Jianhua Chen
: pp. 410-415
Dynamically Adjusting Migration Rates for Multi-Population Genetic Algorithms
Abstract
Tzung-Pei Hong, Wen-Yang Lin, Shu-Min Liu, and Jiann-Horng Lin
: pp. 416-422
Automatic Extraction of Key Sentences via Word Sense Identification for Chinese Text Summarization
Abstract
Yau-Hwang Kuo and Hsun-Hui Huang
: pp. 423-432
Mining Fuzzy Association Rules on Has-A and Is-A Hierarchical Structures
Abstract
Been-Chian Chien, Ming-Huang Zhong, and Jeng-Jung Wang
: pp. 433-442
Improving Ant Colony Optimization Algorithms for Solving Traveling Salesman Problems
Abstract
Kuo-Sheng Hung, Shun-Feng Su, and Zne-Jung Lee

No.3

(Mar)

Special Issue on Advances in Intelligent Data Processing

Special Issue on Advances in Intelligent Data Processing

: pp. 259-260
Advances in Intelligent Data Processing
Kok Wai Wong, Tamás Gedeon, and Chun Che Fung

Technological advancement using intelligent techniques has provided solutions to many applications in diverse engineering disciplines. In application areas such as web mining, image processing, medical, and robotics, just one intelligent data processing technique may be inadequate for handling a task, and a combination or hybrid of intelligent data processing techniques becomes necessary. The sharp increase in activities in the development of innovative intelligent data processing technologies also attracted the interest of many researchers in applying intelligent data processing techniques in other application domains. In this special issue, we presented 12 research papers focusing on different aspects of intelligent data processing and its applications. We start with a paper entitled “An Activity Monitor Design Based on Wavelet Analysis and Wireless Sensor Networks,” which focuses on using wavelet analysis and wireless sensor networks for monitoring the human physical condition. The second paper, “An Approach in Designing Hierarchy of Fuzzy Behaviors for Mobile Robot Navigation,” presents a hierarchical approach using fuzzy theory to assist in the task of mobile robot navigation. It also discusses the design of hierarchical behavior of mobile robots using sensors. The third paper, “Toward Natural Communication: Human-Robot Gestural Interaction Using Pointing,” also works with robots focusing more on the interaction between users and robots in which the robot recognizes pointing by a human user through intelligent data processing. The fourth paper, “Embodied Conversational Agents for H5N1 Pandemic Crisis,” examines the use of intelligent software bots as an interaction tool for crisis communication. linebreaknewpage The work is based on a novel Automated Knowledge Extraction Agent (AKEA). There are many interests of using intelligent data processing techniques for image processing and analysis, as shown in the next few papers. The fifth paper, “A Feature Vector Approach for Inter-Query Learning for Content-Based Image Retrieval,” presents relevance feedback based technique for content based image retrieval. It extends the relevance feedback approach to capture the inter-query relationship between current and previous queries. The sixth paper, “Abstract Image Generation Based on Local Similarity Pattern,” also falls in the area of image retrieval using local similarity patterns to generate abstract images from a given set of images. Along the same line of similarity measure for image retrieval, the seventh paper, “Cross-Resolution Image Similarity Modeling,” works on cross resolution using probabilistic and fuzzy theory to formulate cross resolution image similarity modeling. The eighth paper, “Bayesian Spatial Autoregressive for Reducing Blurring Effect in Image,” presents a Bayesian Spatial Autoregressive technique developed by Geweke and LeSage. The ninth paper, “Logistic GMDH-Type Neural Network and its Application to Identification of X-Ray Film Characteristic Curve,” presents a class of neural networks for X-Ray Film processing and compares results with some conventional techniques. As digital entertainment and games grow increasingly popular, the tenth paper, “Classification of Online Game Players Using Action Transition Probability and Kullback Leibler Entropy,” looks into the use of intelligent data processing for classifying of online game players. The eleventh paper, “Parallel Learning Model and Topological Measurement for Self-Organizing Maps,” presents the concept of a SOM parallel learning model that appears both robust and efficient. The twelfth paper, “Optimal Size Fuzzy Models,” delineates concepts on how to make fuzzy systems more efficient. As guest editors for this issue, we thank the authors for their hard work. We also thank the reviewers for their assistance in the review process. All full papers submitted to this special issue have been peer-reviewed by at least two international reviewers in the area.

: pp. 261-267
An Activity Monitor Design Based on Wavelet Analysis and Wireless Sensor Networks
Abstract
Qian Tian, Long Xie, and Noriyoshi Yamauchi
: pp. 268-275
An Approach in Designing Hierarchy of Fuzzy Behaviors for Mobile Robot Navigation
Abstract
Long Thanh Ngo, Long The Pham, Phuong Hoang Nguyen, and Kaoru Hirota
: pp. 276-281
Toward Natural Communication: Human-Robot Gestural Interaction Using Pointing
Abstract
Eri Sato, Aika Nakajima, Jun Nakazato, and Toru Yamaguchi
: pp. 282-288
Embodied Conversational Agents for H5N1 Pandemic Crisis
Abstract
Ong Sing Goh, Chun Che Fung, Kok Wai Wong, and Arnold Depickere
: pp. 289-293
A Feature Vector Approach for Inter-Query Learning for Content-Based Image Retrieval
Abstract
Kien-Ping Chung and Chun Che Fung
: pp. 294-300
Abstract Image Generation Based on Local Similarity Pattern
Abstract
Yasufumi Takama and Keisuke Shigemori
: pp. 301-307
Cross-Resolution Image Similarity Modeling
Abstract
Mladen Jović, Yutaka Hatakeyama, and Kaoru Hirota
: pp. 308-311
Bayesian Spatial Autoregressive for Reducing Blurring Effect in Image
Abstract
Siana Halim
: pp. 312-318
Logistic GMDH-Type Neural Network and its Application to Identification of X-Ray Film Characteristic Curve
Abstract
Tadashi Kondo and Junji Ueno
: pp. 319-326
Classification of Online Game Players Using Action Transition Probability and Kullback Leibler Entropy
Abstract
Ruck Thawonmas and Ji-Young Ho
: pp. 327-334
Parallel Learning Model and Topological Measurement for Self-Organizing Maps
Abstract
Michiharu Maeda, Hiromi Miyajima, and Noritaka Shigei
: pp. 335-341
Optimal Size Fuzzy Models
Abstract
Tamás D. Gedeon, László T. Kóczy, and Alessandro Zorat
: pp. 343-353
Adaptation and Self-Adaptation Mechanisms in Genetic Network Programming for Mining Association Rules
Abstract
Karla Taboada, Eloy Gonzales, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, and Jinglu Hu

No.2

(Feb)

Regular papers

Regular Papers

: pp. 135-141
Avoidance Ability of Redundant Mobile Manipulators During Hand Trajectory Tracking
Abstract
Mamoru Minami, Hiroshi Tanaka, and Yasushi Mae
: pp. 142-148
Adaptive Action Selection of Body Expansion Behavior in Multi-Robot System Using Communication
Abstract
Tomohisa Fujiki, Kuniaki Kawabata, and Hajime Asama
: pp. 149-154
A Semantic Concept Operation Based on Fuzzy Document Ordering System and its Application to Reuter Database
Abstract
Tadashi Ohashi, Hajime Nobuhara, and Kaoru Hirota
: pp. 155-161
Reinforcement Learning Scheme for Flocking Behavior Emergence
Abstract
Koichiro Morihiro, Teijiro Isokawa, Haruhiko Nishimura, Masahito Tomimasu, Naotake Kamiura, and Nobuyuki Matsui
: pp. 162-167
FCM-Type Fuzzy Clustering of Mixed Databases Considering Nominal Variable Quantification
Abstract
Katsuhiro Honda, Ryo Uesugi, and Hidetomo Ichihashi
: pp. 168-175
Hierarchical Parallel Placement Using a Genetic Algorithm for Realizing Low Power Consumption
Abstract
Masaya Yoshikawa and Hidekazu Terai
: pp. 176-186
Infinite Computation in the Equivalent Transformation Model
Abstract
Hiroshi Mabuchi, Kiyoshi Akama, Hidekatsu Koike, and Katsunori Miura
: pp. 187-194
Image Thresholding Computation Using Atanassov’s Intuitionistic Fuzzy Sets
Abstract
H. Bustince, E. Barrenechea, M. Pagola, and R. Orduna
: pp. 195-201
New Fast Principal Component Analysis for Face Detection
Abstract
Hazem M. El-Bakry
: pp. 202-209
New Similarity Measures of Intuitionistic Fuzzy Sets
Abstract
Hassan Rezaei and Masao Mukaidono
: pp. 210-219
Constraint Solving Specializations for Equality on an Interval-Variable Domain
Abstract
Hiroshi Mabuchi, Kiyoshi Akama, Katsunori Miura, and Takahiko Ishikawa
: pp. 220-231
Genetic and Bacterial Programming for B-Spline Neural Networks Design
Abstract
János Botzheim, Cristiano Cabrita, László T. Kóczy, and Antonio E. Ruano
: pp. 232-241
Biological Rhythm Based Wearable Sleep State Observer
Abstract
Yuki Wakuda, Akiko Noda, Yasuhisa Hasegawa, Fumihito Arai, Toshio Fukuda, and Mitsuo Kawaguchi
: pp. 242-249
Emulating Qubits with Fuzzy Logic
Abstract
M. Skander Hannachi, Yutaka Hatakeyama, and Kaoru Hirota

No.1

(Jan)

Special Issue on Modeling Decisions for Artificial Intelligence

Special Issue on Modeling Decisions for Artificial Intelligence

: p. 3
Modeling Decisions for Artificial Intelligence
Vicenç Torra, Yasuo Narukawa, and Sadaaki Miyamoto

This special issue presents seven papers that are revised and expanded versions of papers presented at the 2nd International Conference on “Modeling Decisions for Artificial Intelligence” (MDAI). This conference, that took place in Tsukuba (Japan) in July 2005, was the second of the series of MDAI conferences that were initiated in 2004 in Barcelona (Catalonia, Spain). In April 2006, the third edition was held in Tarragona (Catalonia, Spain) and the fourth one is planned in Kitakyushu (Japan) in August 2007. These series of conferences were initiated to foster the use of decision related tools as well as information fusion technologies within artificial intelligence applications. In this issue, we present enhanced version of seven papers presented in the conference. The first paper describes a tool that uses fuzzy logic and neural networks for assigning a treatment to rheumatism. The selection of the appropriate treatment follows oriental medicine. The second paper by Wanyama and Far describes a tool for trade-off analysis to be used in those situations related with decision making in which there is no dominant solution. The third paper is devoted to autonomous mobile robots. The authors describe a multi-layered fuzzy control system for the self-localization of the robot. Two papers devoted to fuzzy clustering follow in this issue. First, one that presents a regularization approach with nonlinear membership weights. One of the proposed methods makes not only possible to perform attraction of data to clusters but also repulsion between different clusters. The second paper on clustering proposes the simultaneous application of homogeneity analysis and fuzzy clustering through the consideration of an appropriate objective function that includes two types of memberships. The sixth paper presents a tool for e-mail classification. The tool brings the name of FIS-CRM that stands for Fuzzy Interrelations and Synonymy Conceptual Representation Model. The issue finishes with a paper on meta-heuristic algorithms for a class of container loading problems. To finish this introduction, we would like to thank the referees for their work on the review process as well as to thank Prof. Hirota, Editor-in-Chief of this journal, for providing us with the opportunity to edit this special issue. The help of Kazuki Ohmori and Kenta Uchino from Fuji Technology Press Ltd. is also acknowledged.

: pp. 4-10
Applying Fuzzy Logic and Neural Network to Rheumatism Treatment in Oriental Medicine
Abstract
Cao Thang, Eric W. Cooper, Yukinobu Hoshino, and Katsuari Kamei
: pp. 11-20
A Qualitative Reasoning Model for Tradeoff Analysis in Multiple Objective Decision Making
Abstract
Tom Wanyama and Behrouz Homayoun Far
: pp. 21-27
Multilayered Fuzzy Behavior Control for an Autonomous Mobile Robot with Multiple Omnidirectional Vision System: MOVIS
Abstract
Yoichiro Maeda and Wataru Shimizuhira
: pp. 28-34
A Regularization Approach to Fuzzy Clustering with Nonlinear Membership Weights
Abstract
Katsuhiro Honda and Hidetomo Ichihashi
: pp. 35-39
Quantification of Multivariate Categorical Data Considering Typicality of Item
Abstract
Chi-Hyon Oh, Katsuhiro Honda, and Hidetomo Ichihashi
: pp. 40-50
FzMail: Using FIS-CRM for E-mail Classification
Abstract
Francisco P. Romero, José A. Olivas, and Pablo J. Garcés
: pp. 51-60
Metaheuristic Algorithms for Container Loading Problems: Framework and Knowledge Utilization
Abstract
Sadaaki Miyamoto, Yasunori Endo, Koki Hanzawa, and Yukihiro Hamasuna
: pp. 61-70
Landscape Image Retrieval with Query by Sketch and Icon
Abstract
Takahiro Hayashi, Atsushi Ishikawa, and Rikio Onai
: pp. 71-78
An Inference Method for Fuzzy Quantified Natural Language Propositions Based on New Interpretation of Truth Qualification
Abstract
Wataru Okamoto, Shun’ichi Tano, Toshiharu Iwatani, and Atsushi Inoue
: pp. 79-86
Genetic Network Programming with Actor-Critic
Abstract
Hiroyuki Hatakeyama, Shingo Mabu, Kotaro Hirasawa, and Jinglu Hu
: pp. 87-95
An Incremental Neural Network for Online Supervised Learning and Topology Learning
Abstract
Youki Kamiya, Shen Furao, and Osamu Hasegawa
: pp. 96-104
Multilayered GMDH-Type Neural Network with Radial Basis Functions and its Application to 3-Dimensional Medical Image Recognition of the Liver
Abstract
Tadashi Kondo, Junji Ueno, and Abhijit S. Pandya
: pp. 105-110
Prior’s Three-Valued Modal Logic Q and its Possible Applications
Abstract
Seiki Akama and Yasunori Nagata
: pp. 111-117
Evaluation of Appropriate Body Placement and Notification Modality of a Wearable Clip-on Notifier Using an Experimental Platform
Abstract
Vlaho Kostov, Eiichi Naito, Takashi Tajima, and Jun Ozawa
: pp. 118-125
Intelligent Work-Study Support Based on Interactive Web Guide
Abstract
Masaaki Tanaka, Tokuro Matsuo, Takayuki Ito, Tadachika Ozono, and Toramatsu Shintani

Vol.10 (2006)

No.6

(Nov)

Special Issue on Language-Based Human Intelligence and Personalization

Special Issue on Language-Based Human Intelligence and Personalization

: pp. 771-772
Language-Based Human Intelligence and Personalization
Ichiro Kobayashi

At the annual conference of the Japan Society for Artificial Intelligence (JSAI), a special survival session called “Challenge for Realizing Early Profits (CREP)” is organized to support and promote excellent ideas in new AI technologies expected to be realized and contributed to society within five years. Every year at the session, researchers propose their ideas and compete in being evaluated by conference participants. The Everyday Language Computing (ELC) project, started in 2000 at the Brain Science Institute, RIKEN, and ended in 2005, participated in the CREP program in 2001 to have their project evaluated by third parties and held an organized session every year in which those interested in language-based intelligence and personalization participate. They competed with other candidates, survived the session, and achieved the session’s final goal to survive for five years. Papers in this special issue selected for presentation at the session include the following: The first article, “Everyday-Language Computing Project Overview,” by Ichiro Kobayashi et al., gives an overview and the basic technologies of the ELC Project. The second to sixth papers are related to the ELC Project. The second article, “Computational Models of Language Within Context and Context-Sensitive Language Understanding,” by Noriko Ito et al., proposes a new database, called the “semiotic base,” that compiles linguistic resources with contextual information and an algorithm for achieving natural language understanding with the semiotic base. The third article, “Systemic-Functional Context-Sensitive Text Generation in the Framework of Everyday Language Computing,” by Yusuke Takahashi et al., proposes an algorithm to generate texts with the semiotic base. The fourth article, “Natural Language-Mediated Software Agentification,” by Michiaki Iwazume et al., proposes a method for agentifying and verbalizing existing software applications, together with a scheme for operating/running them. The fifth article, “Smart Help for Novice Users Based on Application Software Manuals,” by Shino Iwashita et al., proposes a new framework for reusing electronic software manuals equipped with application software to provide tailor-made operation instructions to users. The sixth article, “Programming in Everyday Language: A Case for Email Management,” by Toru Sugimoto et al., making a computer program written in natural language. Rhetorical structure analysis is used to translate the natural language command structure into the program structure. The seventh article, “Application of Paraphrasing to Programming with Linguistic Expressions,” by Nozomu Kaneko et al., proposes a method for translating natural language commands into a computer program through a natural language paraphrasing mechanism. The eighth article, “A Human Interface Based on Linguistic Metaphor and Intention Reasoning,” by Koichi Yamada et al., proposes a new human interface paradigm called Push Like Talking (PLT), which enables people to operate machines as they talk. The ninth article, “Automatic Metadata Annotation Based on User Preference Evaluation Patterns,” by Mari Saito proposes effective automatic metadata annotation for content recommendations matched to user preference. The tenth article, “Dynamic Sense Representation Using Conceptual Fuzzy Sets,” by Hiroshi Sekiya et al., proposes a method to represent word senses, which vary dynamically depending on context, using conceptual fuzzy sets. The eleventh article, “Common Sense from the Web? Naturalness of Everyday Knowledge Retrieved from WWW,” by Rafal Rzepka et al., is a challenging work to acquire common-sense knowledge from information on the Web. The twelfth article, “Semantic Representation for Understanding Meaning Based on Correspondence Between Meanings,” by Akira Takagi et al., proposes a new semantic representation to deal with Japanese language in natural language processing. I thank the reviewers and contributors for their time and effort in making this special issue possible, and I wish to thank the JACIII editorial board, especially Professors Kaoru Hirota and Toshio Fukuda, the Editors-in-Chief, for inviting me to serve as Guest Editor of this Journal. Thanks also go to Kazuki Ohmori and Kenta Uchino of Fuji Technology Press for their sincere support.

: pp. 773-781
Everyday-Language Computing Project Overview
Abstract
Ichiro Kobayashi, Michio Sugeno, Toru Sugimoto, Shino Iwashita, Noriko Ito, Michiaki Iwazume, and Yusuke Takahashi
: pp. 782-790
Computational Models of Language Within Context and Context-Sensitive Language Understanding
Abstract
Noriko Ito, Toru Sugimoto, Yusuke Takahashi, Shino Iwashita, and Michio Sugeno
: pp. 791-801
Systemic-Functional Context-Sensitive Text Generation in the Framework of Everyday Language Computing
Abstract
Yusuke Takahashi and Ichiro Kobayashi
: pp. 802-810
Natural Language-Mediated Software Agentification
Abstract
Michiaki Iwazume, Ichiro Kobayashi, and Michio Sugeno
: pp. 811-820
Smart Help for Novice Users Based on Application Software Manuals
Abstract
Shino Iwashita, Noriko Ito, Ichiro Kobayashi, Toru Sugimoto, and Michio Sugeno
: pp. 821-829
Programming in Everyday Language: A Case for Email Management
Abstract
Toru Sugimoto, Noriko Ito, Shino Iwashita, and Michio Sugeno
: pp. 830-837
Application of Paraphrasing to Programming with Linguistic Expressions
Abstract
Nozomu Kaneko and Takehisa Onisawa
: pp. 838-849
A Human Interface Based on Linguistic Metaphor and Intention Reasoning
Abstract
Koichi Yamada, Mutsumi Tamai, and Muneyuki Unehara
: pp. 850-858
Automatic Metadata Annotation Based on User Preference Evaluation Patterns
Abstract
Mari Saito
: pp. 859-867
Dynamic Sense Representation Using Conceptual Fuzzy Sets
Abstract
Hiroshi Sekiya, Takeshi Kondo, Makoto Hashimoto, and Tomohiro Takagi
: pp. 868-875
Common Sense from the Web? Naturalness of Everyday Knowledge Retrieved from WWW
Abstract
Rafal Rzepka, Yali Ge, and Kenji Araki
: pp. 876-912
Semantic Representation for Understanding Meaning Based on Correspondence Between Meanings
Abstract
Akira Takagi, Hideki Asoh, Yukihiro Itoh, Makoto Kondo, and Ichiro Kobayashi
: pp. 913-920
A Histogram Modification Approach for Analysis of Membership Function Relocation in Fuzzy Logic Control
Abstract
Jia Lu and Yunxia Hu
: pp. 921-930
Adaptive Random Search with Intensification and Diversification Combined with Genetic Algorithm
Abstract
Dongkyu Sohn, Hiroyuki Hatakeyama, Shingo Mabu, Kotaro Hirasawa, and Jinglu Hu
: pp. 931-938
An Efficient Specification for System Verification
Abstract
Chikatoshi Yamada, Yasunori Nagata, and Zensho Nakao
: pp. 939-945
Toward a Generalization of Rough Sets Based on Active and Passive Relations
Abstract
Masashi Emoto, Rolly Intan, and Masao Mukaidono
: pp. 946-953
New Similarity Measure Between Two Fuzzy Sets
Abstract
Hassan Rezaei, Masashi Emoto, and Masao Mukaidono
: pp. 954-963
Alternate Genetic Network Programming with Association Rules Acquisition Mechanisms Between Attribute Families
Abstract
Kaoru Shimada, Kotaro Hirasawa, and Jinglu Hu

No.5

(Sep)

Special Issue on Rough Sets and Granular Computing
Special Issue on Web Services Practices

Special Issue on Rough Sets and Granular Computing

: p. 605
Rough Sets and Granular Computing
Hiroshi Sakai and Masahiro Inuiguchi

Rough sets and granular computing, known as new methodologies for computing technology, are now attracting great interest of researchers. This special issue presents 12 articles, and most of them were presented at the second Japanese workshop on Rough Sets held at Kyushu Institute of Technology in Tobata, Kitakyushu, Japan, on August 17-18, 2005. The first article studies the relation between rough set theory and formal concept analysis. These two frameworks are analyzed and connected by using the method of morphism. The second article introduces object-oriented paradigm into rough set theory, and object-oriented rough set models are proposed. Theoretical aspects of these new models are also examined. The third article considers relations between generalized rough sets, topologies and modal logics, and some topological properties of rough sets induced by equivalence relations are presented. The fourth article focuses on a family of polymodal systems, and theoretical aspects of these systems, like the completeness, are investigated. By means of combining polymodal logic concept and rough set theory, a new framework named multi-rough sets is established. The fifth article focuses on the information incompleteness in fuzzy relational models, and a generalized possibility-based fuzzy relational model is proposed. The sixth article presents a developed software EVALPSN (Extended Vector Annotated Logic Program with Strong Negation) and the application of this software to pipeline valve control. The seventh article presents the properties of attribute reduction in variable precision rough set models. Ten kinds of meaningful reducts are newly proposed, and hierarchical relations in these reducts are examined. The eighth article proposes attribute-value reduction for Kansei analysis using information granulation, and illustrative results for some databases in UCI Machine Learning Repository are presented. The ninth article investigates cluster analysis for data with errors tolerance. Two new clustering algorithms, which are based on the entropy regularized fuzzy c-means, are proposed. The tenth article applies binary decision trees to handwritten Japanese Kanji recognition. The consideration to the experimental results of real Kanji data is also presented. The eleventh article applies a rough sets based method to analysing the character of the screen-design in every web site. The obtained character gives us good knowledge to generate a new web site. The last article focuses on rule generation in non-deterministic information systems. For generating minimal certain rules, discernibility functions are introduced. A new algorithm is also proposed for handling every discernibility function. Finally, we would like to acknowledge all the authors for their efforts and contributions. We are very grateful to reviewers for their thorough and on-time reviews, too. We are also grateful to Prof. Toshio Fukuda and Prof. Kaoru Hirota, Editors-in-Chief of JACIII, for inviting us to serve as Guest Editors of this Journal, and to Mr. Uchino and Mr. Ohmori of Fuji Technology Press for their kind assistance in publication of this special issue.

: pp. 606-611
Rough Set Approximation as Formal Concept
Abstract
Nozomi Ytow, David R. Morse, and David McL. Roberts
: pp. 612-620
A Theoretical Formulation of Object-Oriented Rough Set Models
Abstract
Yasuo Kudo and Tetsuya Murai
: pp. 621-624
Topological Structures of Rough Sets Induced by Equivalence Relations
Abstract
Michiro Kondo and Wieslaw A. Dudek
: pp. 625-632
A Family of Polymodal Systems and its Application to Generalized Possibility Measures and Multi-Rough Sets
Abstract
Sadaaki Miyamoto, Tetsuya Murai, and Yasuo Kudo
: pp. 633-646
Generalizing Possibility-Based Fuzzy Relational Models
Abstract
Michinori Nakata
: pp. 647-656
Pipeline Valve Control Based on EVALPSN Safety Verification
Abstract
Kazumi Nakamatsu
: pp. 657-665
Structure-Based Attribute Reduction in Variable Precision Rough Set Models
Abstract
Masahiro Inuiguchi
: pp. 666-672
Reduction of Attribute Values for Kansei Representation
Abstract
Yuji Muto, Mineichi Kudo, and Tetsuya Murai
: pp. 673-681
On Fuzzy c-Means for Data with Tolerance
Abstract
Ryuichi Murata, Yasunori Endo, Hideyuki Haruyama, and Sadaaki Miyamoto
: pp. 682-687
An Application of Binary Decision Trees to Pattern Recognition
Abstract
Noboru Takagi
: pp. 688-694
Analysis of Specifications for Web Screen-Design Using Rough Sets
Abstract
Toshinobu Harada and Ryousuke Tanaka
: pp. 695-702
An Application of Discernibility Functions to Generating Minimal Rules in Non-Deterministic Information Systems
Abstract
Hiroshi Sakai and Michinori Nakata

Special Issue on Web Services Practices

: pp. 703-704
Web Services Practices
Ajith Abraham, Sung-Bae Cho, Thomas Hite, and Sang-Yong Han

Web services – a new breed of self-contained, self-describing, modular applications published, located, and invoked across the Web – handle functions, from simple requests to complicated business processes. They are defined as network-based application components with a services-oriented architecture (SOA) using standard interface description languages and uniform communication protocols. SOA enables organizations to grasp and respond to changing trends and to adapt their business processes rapidly without major changes to the IT infrastructure. The Inaugural International Conference on Next-Generation Web Services Practices (NWeSP’05) attracted researchers who are also the world’s most respected authorities on the semantic Web, Web-based services, and Web applications and services. NWeSP’05 was held in cooperation with the IEEE Computer Society Task Force on Electronic Commerce, the Technical Committee on Internet, and the Technical Committee on Scalable Computing. This special issue presents eight papers focused on different aspects of Web services and their applications. Papers were selected based on fundamental ideas and concepts rather than the thoroughness of techniques employed. Papers are organized as follows: Taher et al. present the first paper, on a Quality of Service Information and Computational framework (QoS-IC) supporting QoS-based service selection for SOA. The framework’s functionality is expanded using a QoS constraints model that establishes an association relationship between different QoS properties and is used to govern QoS-based service selection in the underlying algorithm. Using a prototype implementation, the authors demonstrate how QoS constraints improve QoS-based service selection and save consumers valuable time. Due to the complex infrastructure of web applications, response times perceived by clients may be significantly longer than desired. To overcome some of the current problems, Vilas et al., in the second paper, propose a cache-based extension of the architecture that enhances the current web services architecture, which is mainly based on program-logic or protocol-dependent optimization. In the third paper, Jo and Yoo present authorization for securing XML sources on the Web. One of the disadvantages of existing access control is that the DOM tree must be loaded into memory while all XML documents are parsed to generate the DOM tree, such that a lot of memory is used in repetitive search for tree to authorize access to all nodes in the DOM tree. The complex authorization evaluation process required thus lowers system performance. Existing access control fails to consider information structure and semantics sufficiently due to basic HTML limitations. The authors overcome some of these limitations in the proposed model. In the fourth paper, Jung and Cho propose a novel behavior-network-based method for Web service composition. The behavior network selects services automatically through internal and external links with environmental information from sensors and goals. An optimal service is selected at each step, resulting in a globally optimal service sequence for achieving preset goals. The authors detail experimental results for the proposed model by comparing them with rule-based system and user tests. Kong et al. present an efficient method in the fifth paper for merging heterogeneous ontologies – no ontology building standard currently exists – and the many ontology-building tools available are based on different ontology languages, mostly focusing on how to create, edit and infer the ontology efficiently. Even ontologies about the same domain differ because ontology experts hold different view points. For these reasons, interoperability between ontologies is very low. The authors propose merging heterogeneous domain ontologies by overcoming some of the above limitations. In the sixth paper, Chen and Che provide polynomial-time tree pattern query minimization algorithm whose efficiency stems from two key observations: (i) Inherent redundant “components” usually exist inside the rudimentary query provided by the user, and (ii) nonedundant nodes may become redundant when constraints such as co-occurrence and required child/descendant are given. They show that the algorithm obtained by first augmenting the input tree pattern using constraints, then applying minimization, invariably finds a unique minimal equivalent to the original query. Chen and Che present a polynomial-time algorithm for tree pattern query (TPQ) minimization without XML constraints in the seventh paper. The two-part algorithm is a dynamic programming strategy for finding all matching subtrees within a TPQ. The algorithm consists of one for subtree recognization and a second for subtree deletion. In the last paper, Bagchi et al. present the mobile distributed virtual memory (MDVM) concept and architecture for cellular networks containing server-groups (SG). They detail a two-round randomized distributed algorithm to elect a unique leader and co-leader of the SG that is free of any assumption about network topology, and buffer space limitations and is based on dynamically elected coordinators eliminating single points of failure. As guest editors, we thank all authors featured in this special issue for their contributions and the referees for critically evaluating the papers within the short time allotted. We sincerely believe that readers will share our enjoyment of this special issue and find the information it presents both timely and useful.

: pp. 705-712
QoS Constrains Model: Establishing QoS Association for Ontology-Based Web Service Selection Mechanism
Abstract
Laila Taher, Rawshan Basha, and Hazem El Khatib
: pp. 713-720
Optimizing Web Services Performance Using Cache
Abstract
Julio Fernández Vilas, Jose J. Pazos Arias, and Ana Fernández Vilas
: pp. 721-727
An Efficient Authorization Mechanism for Secure XML Sources on the Web
Abstract
Sun-Moon Jo and Weon-Hee Yoo
: pp. 728-732
Automatic Web Service Composition Based on Behavior Network
Abstract
Myung-Chul Jung and Sung-Bae Cho
: pp. 733-737
Efficient Merging for Heterogeneous Domain Ontologies Based on WordNet
Abstract
Hyunjang Kong, Myunggwon Hwang, and Pankoo Kim
: pp. 738-743
Efficient Processing of XML Tree Pattern Queries
Abstract
Yangjun Chen and Dunren Che
: pp. 744-751
Minimization of XML Tree Pattern Queries in the Presence of Integrity Constraints
Abstract
Yangjun Chen and Dunren Che
: pp. 752-760
MDVM System Concept, Paging Latency and Round-2 Randomized Leader Election Algorithm in SG
Abstract
Susmit Bagchi, Hafizur Rahaman, and Purnendu Das

Regular Papers

: pp. 761-768
Visual Cortex Inspired Intelligent Contour Detection
Abstract
Barna Reskó, Zoltán Petres, András Róka, and Péter Baranyi

No.4

(Jul)

Special Issue on the Sixth International Conference on Fuzzy Systems (AFSS' 2004)
Special Issue: Dedicated to INES 2005 and SISY 2005 Conferences

Special Issue on the Sixth International Conference on Fuzzy Systems (AFSS' 2004)

: p. 443
the Sixth International Conference on Fuzzy Systems (AFSS’ 2004)
Nguyen Hoang Phuong

This special issue features five papers devoted to fuzzy systems and their applications. Papers were selected from those accepted and presented at the Sixth International Conference on Fuzzy Systems (AFSS’ 2004) held in Hanoi, Vietnam on December 15-17, 2004. AFSS’ 2004 and Tutorials held in Hue city on December 18-19, 2004, included a wide spectrum of research topics on “fuzzy set theory”, “intelligent technology”, “fuzzy logic and approximate reasoning”, “neural networks”, “genetic algorithms”, “hybrid systems” and “soft computing”. Over 40 papers were accepted and presented by researchers from countries including Brazil, Canada, Taiwan, India, Korea, Malaysia, Japan and Vietnam. Five papers receiving outstanding recommendations in reviews have been selected for this issue. The topics they address include fuzzy logic for robots, data mining, neural networks in medicine, Fuzzy Constraint Satisfaction Problems, and hybrid systems. As editors of this special issue, we are sincerely grateful to the authors. Special thanks also go to the referees for their excellent work, to Mr. Kazuki Ohmori for his aid in coordinating the issue’s publication, and to the JACIII Editorial Board, especially Professor Kaoru Hirota for his invaluable support and encouragement. Finally, we thank Professors Masao Mukaidono and Witold Pedrycz for their contributions to AFSS’ 2004. Without their support, AFSS’ 2004 and this issue would not have been possible.

: pp. 444-450
Extending Fuzzy Directional Relationship and Applying for Mobile Robot Collision Avoidance Behavior
Abstract
Long Thanh Ngo, Long The Pham, Phuong Hoang Nguyen, and Kaoru Hirota
: pp. 451-457
Dual Scaling in Data Mining from Text Databases
Abstract
Junzo Watada, Keisuke Aoki, Masahiro Kawano, and Muhammad Suzuri Hitam
: pp. 458-464
A Proposed Model of Diagnosis and Prescription in Oriental Medicine Using RBF Neural Networks
Abstract
Cao Thang, Eric W. Cooper, Yukinobu Hoshino, Katsuari Kamei, and Nguyen Hoang Phuong
: pp. 465-471
Extending Fuzzy Constraint Satisfaction Problems
Abstract
Yasuhiro Sudo, Masahito Kurihara, and Tamotsu Mitamura
: pp. 472-476
Hybrid Module of the IACVIRTUAL Project
Abstract
Lourdes M. Brasil, Jean C. C. Rojas, Fernando M. de Azevedo, and Carlos W. D. de Almeida

Special Issue: Dedicated to INES 2005 and SISY 2005 Conferences

: pp. 477-478
Special Issue: Dedicated to INES 2005 and SISY 2005 Conferences
Imre J. Rudas, and János Fodor

The current issue contains 12 papers presented at the IEEE 9th International Conference on Intelligent Engineering Systems (INES 2005), Cruising on the Mediterranean Sea, on September 16-19, 2005, and 3rd Serbian-Hungarian Joint Symposium on Intelligent Systems (SISY 2005), in Subotica, Serbia and Montenegro, on August 31-September 1, 2005. The topics of the two conferences are very close to each other and regard Intelligent Systems both from practical and theoretical point of view. These successful conferences brought together active participants and joined researchers from several countries working on this very quickly developing, more and more important field. After a preliminary selection made by the section chairs and the International Program Committees, we have selected 12 papers to be published in extended form in the current Special Issue of the Journal of Advanced Computational Intelligence and Intelligent Informatics. We would like to express our thanks to our sponsors, the organizers and mainly to the participants, who made these scientific events possible. Also, we express our thanks to the Editors of the Journal of Advanced Computational Intelligence and Intelligent Informatics, for publishing this Special Issue. In the following we briefly describe each paper. A. Almeida, G. Marreiros present a model to support collaborative scheduling in complex dynamic manufacturing environments. This model considers the interaction between an Agent based Scheduling Module and a Group Decision Support Module. P. Baranyi, Z. Petres, P. L. Várkonyi, P. Korondi and Y. Yam study in their paper how the Tensor Product model transformation is capable of determining different types of convex hulls of the Linear Time Invariant models. The study is conducted through the example of the prototypical aeroelastic wing section. B. Bede, H. Nobuhara, J. Fodor and K. Hirota propose the study of the problem if usual sum and product can be substituted by max and product operations in defining approximation operators. In this sense max-product Shepard approximation operators are defined and studied. B. Benyó, P. Somogyi and B. Paláncz address the problem of classification of cerebral blood flow signals in order to identify the disorders of the cerebral circulation. The experimental results provided in the paper confirm the effectiveness of the proposed methods. J. Gáti and Gy. Kártyás propose a model based distance learning in the every day higher education practice in their contribution. They survey some important issues and methodological elements of virtual classrooms in comparison with demands for teaching procedures, programs, and materials. L. Horváth and I. J. Rudas propose a methodology for intelligent communication and change management for engineering modeling. This study motivated by increasing of importance of change management because of continuous product development. M. Maleković and M. Čubrilo describe in their contribution how to incorporate infatuation in multi-agent systems. Infatuation stands for the focusing on a single attractive or desirable characteristic of another agent and then considering the total agent as that one positive characteristic. E. Pap and M. Takács study two dimensional copulas as binary aggregation operators in their paper. Invariant copulas and an application of copulas in the theory of aggregation operators are discussed and a result on approximation of associative copulas by strict and nilpotent triangular norms is obtained. B. Reskó, Á. Csapó and P. Baranyi present in their contribution a visual cortex inspired cognitive model for contour and vertex detection. The contour detection and vertex extraction is performed by a vast network of simple units of computation simultaneously processing the visual data. The computational units are organized in a special structure, the Visual Feature Array. M. Takács addresses investigation of the problem of the approximate reasoning in the fuzzy systems, by reviewing a specific case, where the investigated structure is a real semi-ring with pseudo-operations. It is the investigation of special-type fuzzy sets, special g-generated t-norms and implications in approximate reasoning. J. K. Tar, I. J. Rudas and A. Rontó present in their paper a simple adaptive controller that creates only temporal and situation dependent system model. The temporal model can be built up and maintained step-by-step on the basis of slow elimination of fading information by the use of simple updating rules consisting of finite algebraic steps of lucid geometric interpretation. A. R. Várkonyi-Kóczy, A. Rövid and P. Várlaki present a new fuzzy based tone reproduction pre-processing algorithm which may help in developing the hardly or non-viewable features and content of the images making easier the further processing of it.

: pp. 479-485
An Approach to Collaborative Scheduling Through Group Decision Support
Abstract
Ana Almeida, and Goreti Marreiros
: pp. 486-493
Determination of Different Polytopic Models of the Prototypical Aeroelastic Wing Section by TP Model Transformation
Abstract
Péter Baranyi, Zoltán Petres, Péter L. Várkonyi, Péter Korondi, and Yeung Yam
: pp. 494-497
Max-Product Shepard Approximation Operators
Abstract
Barnabás Bede, Hajime Nobuhara, János Fodor, and Kaoru Hirota
: pp. 498-503
Classification of Time Series Using Singular Values and Wavelet Subband Analysis with ANN and SVM Classifiers
Abstract
Balázs Benyó, Péter Somogyi, and Béla Paláncz
: pp. 504-509
Implementation of Course Model Driven Virtual Classroom in Higher Education
Abstract
József Gáti, and Gyula Kártyás
: pp. 510-516
Intelligent Human-Computer Communication of Engineers at Extended Companies
Abstract
László Horváth, and Imre J. Rudas
: pp. 517-521
Incorporating Infatuation in Multi-Agent Systems
Abstract
Mirko Maleković, and Mirko Čubrilo
: pp. 522-526
Two-Dimensional Copulas as Important Binary Aggregation Operators
Abstract
Endre Pap, and Marta Takács
: pp. 527-533
Cognitive Vision Inspired Contour and Vertex Detection
Abstract
Barna Reskó, Ádám B. Csapó, and Péter Baranyi
: pp. 534-541
g-Calculus-Based Compositional Rule of Inference
Abstract
Marta Takács
: pp. 542-548
Geometric Identification and Control of Nonlinear Dynamic Systems Based on Floating Basis Vector Representation
Abstract
József K. Tar, Imre J. Rudas, and Miklós Rontó
: pp. 549-554
Fuzzy Based Brightness Compensation for High Dynamic Range Images
Abstract
Annamária R. Várkonyi-Kóczy, András Rövid, and Péter Várlaki

Regular Papers

: pp. 555-566
Realizing Functional Localization Using Genetic Network Programming with Importance Index
Abstract
Shinji Eto, Hiroyuki Hatakeyama, Shingo Mabu, Kotaro Hirasawa, and Jinglu Hu
: pp. 567-577
Feed-Forward Neural Networks Based on the Eigenstates of the Quantum Harmonic Oscillator
Abstract
Gerasimos Rigatos
: pp. 578-585
Opposition-Based Reinforcement Learning
Abstract
Hamid R. Tizhoosh
: pp. 586-593
Approximate Reasoning in Supervised Classification Systems
Abstract
Hamid Seridi, Herman Akdag, Rachid Mansouri, and Mohamed Nemissi
: pp. 594-601
Application of Fuzzy Inference Method in Printing Pressure State Expectation System
Abstract
Jianping Jing, Yasufumi Takama, and Toru Yamaguchi

No.3

(May)

Selected Papers from InTech'04

Selected Papers from InTech'04

: pp. 243-244
Selected Papers from InTech’04
Richard Aló, and Vladik Kreinovich

The main objective of the annual International Conference on Intelligent Technologies (InTech) is to bring together researchers and practitioners who implement intelligent and fuzzy technologies in real-world environment. The Fifth International Conference on Intelligent Technologies InTech’04 was held in Houston, Texas, on December 2-4, 2004. Topics of InTech’04 included mathematical foundations of intelligent technologies, traditional Artificial Intelligent techniques, uncertainty processing and methods of soft computing, learning/adaptive systems/data mining, and applications of intelligent technologies. This special issue contains versions of 15 selected papers originally presented at InTech’04. These papers cover most of the topics of the conference. Several papers describe new applications of the existing intelligent techniques. R. Aló{o} et al. show how traditional statistical hypotheses testing techniques – originally designed for processing measurement results – need to be modified when applied to simulated data – e.g., when we compare the quality of two algorithms. Y. Frayman et al. use mathematical morphology and genetic algorithms in the design of a machine vision system for detecting surface defects in aluminum die casting. Y. Murai et al. propose a new faster entropy-based placement algorithm for VLSI circuit design and similar applications. A. P. Salvatore et al. show how expert system-type techniques can help in scheduling botox treatment for voice disorders. H. Tsuji et al. propose a new method, based on partial differential equations, for automatically identifying and extracting objects from a video. N. Ward uses Ordered Weighted Average (OWA) techniques to design a model that predicts admission of computer science students into different graduate schools. An important aspect of intelligence is ability to learn. In A. Mahaweerawat et al., neural-based machine learning is used to identify and predict software faults. J. Han et al. show that we can drastically improve the quality of machine learning if, in addition to discovering traditional (positive) rules, we also search for negative rules. A serious problem with many neural-based machine learning algorithms is that often, the results of their learning are un-intelligible rules and numbers. M. I. Khan et al. show, on the example of robotic arm applications, that if we allow neurons with different input-output dependencies – including linear neurons – then we can extract meaningful knowledge from the resulting network. Several papers analyze the Equivalent Transformation (ET) model, that allows the user to automatically generate code from specifications. A general description of this model is given by K. Akama et al. P. Chippimolchai et al. describe how, within this model, we can transform a user’s query into an equivalent more efficient one. H. Koike et al. apply this approach to natural language processing. Y. Shigeta et al. show how the existing constraint techniques can be translated into equivalent transformation rules and thus, combined with other specifications. I. Takarajima et al. extend the ET approach to situations like parallel computations, where the order in which different computations are performed on different processors depends on other processes and is, thus, non-deterministic. Finally, a paper by J. Chandra – based on his invited talk at InTech’04 – describes a general framework for robust and resilient critical infrastructure systems, with potential applications to transportation systems, power grids, communication networks, water resources, health delivery systems, and financial networks. We want to thank all the authors for their outstanding work, the participants of InTech’04 for their helpful suggestions, the anonymous reviewers for their thorough analysis and constructive help, and – last but not the least – to Professor Kaoru Hirota for his kind suggestion to host this issue and to the entire staff of the journal for their tireless work.

: pp. 245-259
Formalization of the Equivalent Transformation Computation Model
Abstract
Kiyoshi Akama, and Ekawit Nantajeewarawat
: pp. 260-264
Testing Hypotheses on Simulated Data: Why Traditional Hypotheses-Testing Statistics Are Not Always Adequate for Simulated Data, and How to Modify Them
Abstract
Richard Aló, Vladik Kreinovich, and Scott A. Starks
: pp. 265-269
A Framework for Robust and Resilient Critical Infrastructure Systems
Abstract
Jagdish Chandra
: pp. 270-280
Semantic Query Optimization: Correctness and Control
Abstract
Pongtawat Chippimolchai, Kiyoshi Akama, and Vilas Wuwongse
: pp. 281-286
Machine Vision System for Automatic Inspection of Surface Defects in Aluminum Die Casting
Abstract
Yakov Frayman, Hong Zheng, and Saeid Nahavandi
: pp. 287-294
Discovering Both Positive and Negative Fuzzy Association Rules in Large Transaction Databases
Abstract
Jianchao Han, and Mohsen Beheshti
: pp. 295-301
Knowledge Extraction from a Mixed Transfer Function Artificial Neural Network
Abstract
M. Imad Khan, Yakov Frayman, and Saeid Nahavandi
: pp. 302-311
Dynamic Interaction of Syntactic and Semantic Analyses Based on the Equivalent Transformation Computation Model
Abstract
Hidekatsu Koike, Kiyoshi Akama, and Hiroshi Mabuchi
: pp. 312-322
MASP – An Enhanced Model of Fault Type Identification in Object-Oriented Software Engineering
Abstract
Atchara Mahaweerawat, Peraphon Sophatsathit, Chidchanok Lursinsap, and Petr Musilek
: pp. 323-331
Fast Placement Algorithm for Rectilinear Jigsaw Puzzles
Abstract
Yasuyuki Murai, Hiroyuki Tsuji, Hisayuki Tatsumi, and Shinji Tokumasu
: pp. 332-338
Expert System-Type Approach to Voice Disorders: Scheduling Botulinum Toxin Treatment for Adductor Spasmodic Dysphonia
Abstract
Anthony P. Salvatore, Amitava Biswas, Vladik Kreinovich, Bertha Manriquez, Michael P. Cannito, and Robert J. Sinard
: pp. 339-348
Converting Constraint Handling Rules to Equivalent Transformation Rules
Abstract
Yoshinori Shigeta, Kiyoshi Akama, Hiroshi Mabuchi, and Hidekatsu Koike
: pp. 349-361
Design of Nondeterministic Program Termination Based on the Equivalent Transformation Computation Model
Abstract
Itaru Takarajima, Kiyoshi Akama, Ikumi Imani, and Hiroshi Mabuchi
: pp. 362-371
Extracting Objects Using Contour Evolutions in Edge-Based Object Tracking
Abstract
Hiroyuki Tsuji, Shinji Tokumasu, Hiroki Takahashi, and Masayuki Nakajima
: pp. 372-383
Towards a Model of Computer Science Graduate Admissions Decisions
Abstract
Nigel Ward
: pp. 385-394
Elevator Group Supervisory Control System Using Genetic Network Programming with Functional Localization
Abstract
Toru Eguchi, Jin Zhou, Shinji Eto, Kotaro Hirasawa, Jinglu Hu, and Sandor Markon
: pp. 395-408
Incremental Learning, Recognition, and Generation of Time-Series Patterns Based on Self-Organizing Segmentation
Abstract
Shogo Okada, and Osamu Hasegawa
: pp. 409-418
An Efficient Algorithm for Traffic Sign Detection
Abstract
Aryuanto Soetedjo, and Koichi Yamada
: pp. 419-431
Generic Database for Hybrid Bayesian Pattern Recognition
Abstract
Kiril I. Tenekedjiev, Carlos A. Kobashikawa, Natalia D. Nikolova, and Kaoru Hirota
: pp. 432-439
Q-SEE: Qualitative Simulation Support System in Economic Education
Abstract
Tokuro Matsuo, Masaki Komatsu, Takayuki Ito, and Toramatsu Shintani

No.2

(Mar)

Selected Papers from HNICEM 2005

Selected Papers from HNICEM 2005

: p. 135
Selected Papers from HNICEM 2005
Elmer P. Dadios

HNICEM is a biennial international conference of experts in the fields of Robotics, Nanotechnology, Information Technology, Control and Communication, Environment, and Management. This special issue presents 11 articles selected from HNICEM 2005 that will provide valuable references for researchers and practitioners. The first article presents new content-based image retrieval based on the visual keys concept. Visual keys are defined as representative regions extracted from an image database and are constructed using image feature clustering. The second article presents interactive video recording and playback technique originally developed for biomedical multimedia training. The third article proposes techniques for determining motion parameters based on complex number expression of the rotation matrix. The fourth article studies the learning behavior of Genetic Algorithm and its potential in real time non-linear control. The effects of different parameters used in the GA for its learning are analyzed. The fifth article presents a Coordinated Hybrid Agent (CHA) framework for the control of Multi-Agent Systems (MASs) applied to a heterogeneous multi-agent such as a mobile robot, an overhead crane, and a robot manipulator. The sixth article presents an algorithm that emulates human inference in deducing root causes, avoiding intermediary causes and anticipating subsequent moves. The seventh article proposes a technique to create Intelligent Distributed Robotic Systems (IDRS) that show smart behavior using a wrapper-components approach. The eighth article presents an autonomous mobile robot with neural network (NN) vision that searches for and collects golf balls in an open or indoor golf driving range. The ninth article demonstrates the technological benefits of miniaturizing machine tools in the context of machine stiffness and accuracy. It also presents the design philosophy and configuration of a 4-axis miniaturized vertical machining center with a positioning accuracy of 4 to 10nm. The tenth article investigates a new type of ion exchanger for high ion exchange capacity (IEC) and rapid ion exchange velocity. Experimental results demonstrate the performance of polystyrene nanofiber ion exchangers (PSNIE) and cation exchanger fiber (CEF). The eleventh and last article presents the architectural design of a Multiservice Provisioning Platform (MSPP) for WiMAX over SONET/SDH. It involves networking existing technologies to deliver a solution that caters to a unique situation favoring wireless access networks to a fully cabled system. We extend our warmest thanks and deepest gratitude to the distinguished authors and reviewers who have contributed to this special issue for their outstanding contributions and cooperation. We are also grateful to Prof. Toshio Fukuda and Prof. Kaoru Hirota, chief editors of JACIII, for inviting me to serve as Guest Editor of this Journal.

: pp. 136-144
Designing Image Retrieval System with the Concept of Visual Keys
Abstract
Manabu Serata, Yutaka Hatakeyama, and Kaoru Hirota
: pp. 145-149
Interactive Reality System (IRiS): Interactive 3D Video Playback in Multimedia Applications
Abstract
Andreas Oikonomou, Saad Amin, Raouf N. G. Naguib, Alison Todman, and Hassanein Al-Omishy
: pp. 150-154
Novel Approach to Determining Camera Motion Parameters
Abstract
Ken-ichi Sakina
: pp. 155-160
Genetic Algorithm On Line Controller for the Flexible Inverted Pendulum Problem
Abstract
Elmer P. Dadios, Patrick S. Fernandez, and David J. Williams
: pp. 161-167
Multi-Agent Based Control of a Heterogeneous System
Abstract
Howard Li, Fakhreddine Karray, Otman Basir, and Insop Song
: pp. 168-172
An Inference Algorithm for Electronic System Diagnostics at the Block Diagram Level
Abstract
Celso Bation Co
: pp. 173-180
Building Intelligent Robotics Systems with Distributed Components
Abstract
Federico Guedea-Elizalde, Rogelio Soto, Fakhreddine Karray, and Insop Song
: pp. 181-186
Neural Network Vision-Guided Mobile Robot for Retrieving Driving-Range Golf Balls
Abstract
Elmer P. Dadios, Kaoru Hirota, Michelle L. Catigum, Albert C. Gutierrez, Danison R. Rodrigo, Christopher Allan G. San Juan, and Jeffrey T. Tan
: pp. 187-195
Precision Machining with Micro-Scale Vertical Machining Center
Abstract
Daniel J. Cox, Glynn Newby, Hyung Wook Park, Steven Y. Liang, Wang-Lin Liu, Shang-Bin Hsieh, and Joon Hwang
: pp. 196-200
Preparation of Cation Exchanger Using Electrospun Polystyrene Nanofiber
Abstract
Hyung-Hwan An, and Changyun Shin
: pp. 201-206
Mapping Wireless Access Network Traffic to Multiservice Provisioning Platform
Abstract
Sandisiwe N. Ncemane, H. Anthony Chan, and Tope R. Karem

Regular Papers

: pp. 207-218
A Speedup Algorithm for Repetition of Hypothetical Reasoning
Abstract
Haruhiko Kimura, Tadanobu Misawa, Koji Abe, and Yasuhiro Ogoshi
: pp. 219-224
Fuzzy Ratings and Crisp Feedback in Fuzzy AHP for Supporting Human Decision Making
Abstract
Toshiyuki Yamashita
: pp. 225-233
Adaptive Fuzzy Control for a Class of Nonlinear Systems with State Observer
Abstract
Hugang Han
: pp. 234-240
Object Reconfiguration with Dextrous Robot Agents
Abstract
Gábor Vass, Béla Lantos, and Shahram Payandeh

No.1

(Jan)

Regular papers

Regular Papers

: pp. 3-10
Switching Model Construction and Stability Analysis for Nonlinear Systems
Abstract
Hiroshi Ohtake, and Kazuo Tanaka
: pp. 11-16
Voting-Based Approach to Nullspace Search for Correspondence Matching and Shape Recovery
Abstract
Kazuhiko Kawamoto, Atsushi Imiya, and Kaoru Hirota
: pp. 17-25
A Hybrid Neuro-Symbolic Approach for Arabic Handwritten Word Recognition
Abstract
Labiba Souici-Meslati, and Mokhtar Sellami
: pp. 26-34
Fuzzy Configuration Space for Moving Obstacle Avoidance of Autonomous Mobile Robots
Abstract
Jorge Guerra, Hajime Nobuhara, and Kaoru Hirota
: pp. 35-49
Genetically Optimized Multi-Layer Fuzzy Polynomial Neural Networks: Analysis and Design
Abstract
Sung-Kwun Oh, Witold Pedrycz, and Ho-Sung Park
: pp. 50-59
Chain Restaurant Work Scheduling Based on Genetic Algorithm with Fuzzy Logic
Abstract
Makoto Watanabe, Hajime Nobuhara, Kazuhiko Kawamoto, Fangyan Dong, and Kaoru Hirota
: pp. 60-68
Velocity Control Strategy for a Spider-Robot Based on Autonomous Walking Form Transition
Abstract
Takeo Ohnishi, and Toshiyuki Asakura
: pp. 69-76
Combining the Global and Partial Information for Distance-Based Time Series Classification and Clustering
Abstract
Hui Zhang, Tu Bao Ho, Mao-Song Lin, and Wei Huang
: pp. 77-83
Experimentally Constructing Semantic Models Based on DNA Computing
Abstract
Yusei Tsuboi, Zuwairie Ibrahim, and Osamu Ono
: pp. 84-92
FCAPS: Fuzzy Controller with Approximated Policy Search Approach
Abstract
Agus Naba, and Kazuo Miyashita
: pp. 93-101
Robust Face Detection for Low-Resolution Images
Abstract
Shinji Hayashi, and Osamu Hasegawa
: pp. 102-111
Genetic Network Programming with Acquisition Mechanisms of Association Rules
Abstract
Kaoru Shimada, Kotaro Hirasawa, and Jinglu Hu
: pp. 112-120
Dedicated Floorplanning Engine Architecture Based on Genetic Algorithm and Evaluation
Abstract
Masaya Yoshikawa, and Hidekazu Terai
: pp. 121-131
A Proposal of Visualization Method for Interpretable Fuzzy Model on Fusion Axes
Abstract
Kosuke Yamamoto, Tomohiro Yoshikawa, and Takeshi Furuhashi

Vol.9 (2005)

No.6

(Nov)

Special issue on Selected Papers from ISCIIA'04

Special issue on Selected Papers from ISCIIA'04

: p. 579
Selected Papers from ISCIIA’04
Yaohong Kang, Shibin Zhao, and Kazuhiko Kawamoto

This special issue contains 14 papers selected from the first International Symposium on Computational Intelligence and Industrial Applications (ISCIIA’04), held in Haikou, China, December 20-24, 2004. Of the 82 papers from 8 countries submitted to the symposium, 62 were accepted for the proceedings. Based on reviewer’s recommendations and guest editor’s careful consideration, the authors of 14 papers have revised and extended their symposium papers for this issue. Computational intelligence is the study of the design of “intelligent” systems, which is flexible in changing environments and changing goals with uncertainty, and covers artificial intelligence, neural networks, fuzzy systems, evolutionary computation, and hybrid systems. The objective of this special issue is to reveal current challenges, research topics, and technology solutions critical to algorithms and applications involving computational intelligence. These 14 papers cover such important research areas as neural networks, image processing, control, financial engineering, robotics, and related technologies in computational intelligence. We believe that the information in this issue will become a valuable new resource for the computational intelligence community. We thank the authors and referees whose selfless work and valuable comments have made this special issue possible and improved the overall quality of the papers.

: pp. 580-589
Improved MLP Learning via Orthogonal Bipolar Target Vectors
Abstract
Shigueo Nomura, Keiji Yamanaka, Osamu Katai, Hiroshi Kawakami, and Takayuki Shiose
: pp. 590-598
Competitive Learning with Fast Neuron-Insertion
Abstract
Noritaka Shigei, Hiromi Miyajima, and Michiharu Maeda
: pp. 599-606
Adaptive Vector Quantization with Creation and Reduction Grounded in the Equinumber Principle
Abstract
Michiharu Maeda,Noritaka Shigei, and Hiromi Miyajima
: pp. 607-614
SONIA-Based Decision Neural Network for Preference Assessment with Incomplete Comparisons
Abstract
Muhammad R. Widyanto, Kazuhiko Kawamoto, Benyamin Kusumoputro, and Kaoru Hirota
: pp. 615-621
Improved Debt Rating Model Using Choquet Integral
Abstract
Toshihiro Kaino, Ken Urata, Shinichi Yoshida, and Kaoru Hirota
: pp. 622-629
Evolutionary Optimisation for Obstacle Detection and Avoidance in Mobile Robotics
Abstract
Olivier Pauplin, Jean Louchet, Evelyne Lutton, and Arnaud de La Fortelle
: pp. 630-636
Plant Recognition by Integrating Color and Range Data Obtained Through Stereo Vision
Abstract
Hotaka Takizawa, Nobuo Ezaki, Shinji Mizuno, and Shinji Yamamoto
: pp. 637-642
An Interactive System with Facial Expression Recognition
Abstract
Yuyi Shang, Mie Sato, and Masao Kasuga
: pp. 643-653
Adaptive Touch Panel User Interface by Type-Based Approach Using Particle Filters
Abstract
Norikazu Ikoma, Witold Pedrycz, Takahiro Hyakudome, and Hiroshi Maeda
: pp. 654-660
Visual Perception for a Partner Robot Based on Computational Intelligence
Abstract
Indra Adji Sulistijono, and Naoyuki Kubota
: pp. 661-668
Lattice Structure of D, T, and SR Fuzzy Flip-Flops Under Max-Min Logic
Abstract
Shinichi Yoshida, and Kaoru Hirota
: pp. 669-676
Robust Tuning of PID Controller Using Bacterial-Foraging-Based Optimization
Abstract
Dong Hwa Kim, and Jae Hoon Cho
: pp. 677-683
Knowledge Representation of Architectural Design by Using IBIS-FRS System
Abstract
Marly Kiatake, Liang-Yee Cheng, and João R. D. Petreche
: pp. 684-692
Definition of an Offshore Petroleum Production System by Using Fuzzy Sets and Utility Functions
Abstract
Tiago C. da Fonseca, José R. P. Mendes, Celso K. Morooka, and Ivan R. Guilherme
: pp. 693-697
Machine Learning: Automated Knowledge Acquisition Based on Unsupervised Neural Network and Expert System Paradigms
Abstract
Nazar Elfadil
: pp. 698-707
Multiclassification by Double-Negative Aggregation of SVM Membership
Abstract
Hidetoshi Tanaka

No.5

(Sep)

“Heart and Mind” Evaluation
From Basic Research to Applications

“Heart and Mind” Evaluation

: p. 439
“Heart and Mind” Evaluation
Toshiaki Murofushi

Special Interest Group in Evaluation (SIG Eval) of Japan Society for Fuzzy Theory and intelligent informatics was founded by Professor Hisao Shiizuka, Kogakuin University, in 1993 to facilitate the exchange of research information within Japan on evaluation problems. Since 1996, SIG Eval has held an annual workshop, the Workshop on Evaluation of Heart and Mind. In addition to the workshop, SIG Eval has edited this special issue on “Heart and Mind” Evaluation. Contributors include those who often speak at the workshop. The first article, “Feasibility Study on Marketing Research Using Eye Movement: An Investigation of Image Presentation using an Eye Camera and Data Processing,” by Shin’ya Nagasawa, Sora Yim, and Hitoshi Hongo, asserts that, in physiological experiments using an eye camera, the user’s interest influences purchasing behavior. The second article, “Statistical Image Analysis of Psychological Projective Drawings,” by Kazuhisa Takemura, Iyuki Takasaki, and Yumi Iwamitsu, discusses the use of statistical image analysis to overcome the difficulty in assessing the reliability of projective drawing techniques. The third article, “Fuzzy Least Squares Regression Analysis for Social Judgment Study,” by Kazuhisa Takemura, proposes fuzzy regression analysis in which a dependent variable, independent variables, and regression parameters are represented by triangular fuzzy numbers. The fourth to sixth articles discuss fuzzy measures, or capacities, which are quite popular for their application in subjective evaluation. The fourth article, “Identification of Fuzzy Measures with Distorted Probability Measures,” by Aoi Honda and Yoshiaki Okazaki, classifies fuzzy measures by introducing the concept of order type, and proposes the method of identifying fuzzy measure μ as a distorted probability of the same, or similar, order type as μ The fifth article, “Semiatoms in Choquet Integral Models of Multiattribute Decision Making,” by Toshiaki Murofushi, characterizes the concept of the semiatom in fuzzy measure theory in the multiattribute preference relation represented by a Choquet integral. The last article, “Some Characterizations of k-Monotonicity through the Bipolar Möbius Transform in Bi-Capacities,” by Katsushige Fujimoto and Toshiaki Murofushi, proposes the bipolar Möbius transform as an extension of the conventional Möbius transform of capacities to that of bi-capacities; the concept of bi-capacity was proposed by Grabisch and Labreuche (2002) for modeling decision making on a bipolar scale. We thank the reviewers and contributers for their time and effort in making this special issue possible, and we wish to thank the JACIII editorial board, especially Professors Kaoru Hirota and Toshio Fukuda, the Editors-in-Chief, and Kenta Uchino, Managing Editor, for their support and advice in putting this special issue together. I have assumed the role of General Chair of the Joint Conference of the Third International Conference on Soft Computing and Intelligent Systems and the Seventh International Symposium on Advanced Intelligent Systems (SCIS & ISIS 2006), to be held at Tokyo Institute of Technology, Japan, on September 20–24, 2006. As is customary, selected papers will be published in special issues of this journal. We invite you to submit your research papers and to participate in SCIS & ISIS 2006. For further information, please visit http://scis2006.cs.dm.u-tokai.ac.jp/.

: pp. 440-452
Feasibility Study on Marketing Research Using Eye Movement: An Investigation of Image Presentation Using an “Eye Camera” and Data Processing
Abstract
Shin'ya Nagasawa, Sora Yim, and Hitoshi Hongo
: pp. 453-460
Statistical Image Analysis of Psychological Projective Drawings
Abstract
Kazuhisa Takemura, Iyuki Takasaki, and Yumi Iwamitsu
: pp. 461-466
Fuzzy Least Squares Regression Analysis for Social Judgment Study
Abstract
Kazuhisa Takemura
: pp. 467-476
Identification of Fuzzy Measures with Distorted Probability Measures
Abstract
Aoi Honda, and Yoshiaki Okazaki
: pp. 477-483
Semiatoms in Choquet Integral Models of Multiattribute Decision Making
Abstract
Toshiaki Murofushi
: pp. 484-495
Some Characterizations of k-Monotonicity Through the Bipolar Möbius Transform in Bi-Capacities
Abstract
Katsushige Fujimoto, and Toshiaki Murofushi

From Basic Research to Applications

: p. 497
From Basic Research to Applications
Jorma K. Mattila

Forty years have passed since Prof. Lotfi A. Zadeh introduced fuzzy set theory in his known article “Fuzzy Sets” in Information and Control, 8, 1965, sparking new development in information technology and automation. This article also formed the roots of the Fuzzy Systems Research Group, an active part of the Laboratory of Applied Mathematics, Lappeenranta University of Technology. Rough set theory, evolutionary computing, and neural computing followed, together with their combinations. This Special Issue presents 10 papers representing these areas. Many of the contributors of this Special Issue belong to the Fuzzy Systems Research Group and others work in close co-operations with this group. The first paper considers the use of linguistically expressed objectives in multicriteria decision-making in selection processes based on topological similarity M-relations between L-sets. The second presents basic ideas and fundamental concepts of rough set theory and considers properties of rough approximations. The third combines Lukasiewicz logics and modifier algebras based on Zadeh algebras, i.e., quasi-Boolean algebras of membership functions. The fourth applies Mö{o}bius transformations, known in complex analysis, to fuzzy subgroups in a topological point of view. The fifth discusses the stability of a classifier based on the Lukasiewicz structure and tests Schweizer and Sklar’s implications with an extension to generalized mean to a classification task. The sixth deals with the interpretability problem of first-order Takagi-Sugeno systems and interpolation issues, developing a special two-model configuration. The seventh describes an expert system for defining an athlete’s aerobic and anaerobic thresholds that successfully mimics decision-making by sport medicine professionals, with system functionality based on fuzzy comparison measures, generalized means, fuzzy membership functions, and differential evolution. The eighth applies a differential evolution algorithm-based method to training radial basis function networks with variables including centers, weights, and widths. The ninth compares two floating-point-encoded evolutionary algorithms – differential evolution and a generalized generation gap model – using a set of problems with different characteristics. The tenth proposes a new approach for monitoring break tendency of paper webs on modern paper machines, combining linguistic equations and fuzzy logic in a case-based reasoning framework. As the Guest Editor of this Special Issue, I thank the contributors and reviewers for their time and effort in making this special issue possible. I am also grateful to the JACIII editorial board, especially Prof. Kaoru Hirota, the Editors-in-Chief and Managing Editor Kenta Uchino, and the staff of Fuji Technology Press for the opportunity to participate in this work. I also thank Prof. Kaoru Hirota for organizing the reviewing of my paper.

: pp. 498-501
A Selection Model with Linguistically Expressed Objectives
Abstract
Jari Kortelainen
: pp. 502-505
Properties of Rough Approximations
Abstract
Jouni Järvinen
: pp. 506-510
On Lukasiewicz Modifier Logic
Abstract
Jorma K. Mattila
: pp. 511-513
Level Sets as a Topological Base Applied to Subgroups of a Group of Moebius Transformations
Abstract
Paavo Kukkurainen
: pp. 514-525
Stability Issues with Classifier Using Lukasiewicz Similarity and Modified Schweizer & Sklar Equations
Abstract
Pasi Luukka, and Jouni Sampo
: pp. 526-533
Identification of Numerically Accurate First-Order Takagi-Sugeno Systems with Interpretable Local Models from Data
Abstract
Andri Riid, and Ennu Rüstern
: pp. 534-539
Fuzzy Logic and Differential Evolution Based Expert System for Defining Top Athlete’s Aerobic and Anaerobic Thresholds
Abstract
Kalle Saastamoinen, and Jaakko Ketola
: pp. 540-548
Approximation by Growing Radial Basis Function Networks Using the Differential-Evolution-Based Algorithm
Abstract
Junhong Liu, and Jouni Lampinen
: pp. 549-555
A Comparison of Differential Evolution and Generalized Generation Gap Model
Abstract
Jani Rönkkönen, Saku Kukkonen, and Jouni Lampinen
: pp. 556-561
Case-Based Reasoning in Web Break Sensitivity Evaluation in a Paper Machine
Abstract
Timo Ahola, and Kauko Leiviskä

Regular Papers

: pp. 563-569
Traces of Fuzzy Relations Under Dual Operations
Abstract
Hiroshi Hashimoto
: pp. 570-575
Improving Text Categorization by Multicriteria Feature Selection
Abstract
Son Doan, and Susumu Horiguchi

No.4

(Jul)

Special Issue on Computational Cybernetics

Special Issue on Computational Cybernetics

: p. 345
Computational Cybernetics
Wilfried Elmenreich, and Imre J. Rudas

This issue contains selected papers from the International IEEE Conference on Computational Cybernetics that took place in Vienna 2004 in Austria at the Vienna University of Technology. Computational Cybernetics is the synergetic integration of Cybernetics and Computational Intelligence techniques. Cybernetics was defined by Wiener as “the science of control and communication, in the animal and the machine”. The word “cybernetics” itself stems from the Greek “kybernetes” that means pilot or governor. While the roots of cybernetics go back to the time when James Watt equipped his steam engine with a Governor, that is a simple feedback mechanism for regulation of steam flow, the computational component was a child of the 20th century with the rise of information processing machines. The science of cybernetics and the science of computer science have in common, that both infiltrated many fields of application such as mathematics, telecommunication, regulated engines, living systems/medicine, social systems, and economical systems. Thus, on the one hand, the science of computational cybernetics encompasses a wide field, like the comparative study of automatic control systems, mechanical, biological (living), social and economical systems, communication theory, signal processing, information technology, control theory, the theory of adaptive systems, and the theory of complex systems (game theory, operational research). On the other hand, this research allows for finding common roots and common behavior among this broad field. This dichotomy between a broad overarching topic and the focus on computational cybernetics establishes the basis for interesting talks and discussions between scientists of different disciplines. We have selected 11 papers from the conference covering the fields of system design and modeling, neural networks, control theory, robotics and pattern recognition, which resemble the great variety of computational cybernetics. After the conference, each of these papers has undergone another peer review cycle in which the papers had been improved in order to fit this journal’s topic and quality. It is our hope that the papers in this issue will inspire and help our readers in the development of advanced intelligent systems at the service of mankind.

: pp. 346-352
Fault-Tolerant Compensation of the Propagation Delay for Hard Real-Time Systems
Abstract
Thomas Losert, Martin Schlager, and Wilfried Elmenreich
: pp. 353-360
On the Design and Structure of Artificial Eyes for Tracking Tasks
Abstract
Markus Vincze
: pp. 361-367
Left Ventricle Wall Motion Analysis Using MRI Tagging
Abstract
Tsuneharu Morito, Susumu Kanazawa, Tetsuya Sano, and Hideki Yamamoto
: pp. 368-371
An Island-Based Evolution Algorithm for Discrete-Continuous Scheduling with Continuous Resource Discretisation
Abstract
Piotr Jedrzejowicz, and Aleksander Skakovski
: pp. 372-378
Utilization of Neural Networks for Error Reduction of Elastomagnetic Sensors
Abstract
Jozef Vojtko, Irena Kovácová, Ladislav Madarász, and Dobroslav Kovác
: pp. 379-386
Fractional-Order Position/Force Robot Control
Abstract
N. M. Fonseca Ferreira, J. A. Tenreiro Machado, and J. Boaventura Cunha
: pp. 387-394
A Unified Framework for Dynamics and Lyapunov Stability of Holonomically Constrained Rigid Bodies
Abstract
Khoder Melhem, Zhaoheng Liu, and Antonio Loría
: pp. 395-398
About Fractional Calculus of Singular Lagrangians
Abstract
Dumitru Baleanu
: pp. 399-408
Analogy Based Methodology for Complex Adaptive Production Network Modelling
Abstract
Béla Pátkai
: pp. 409-414
Roby-Go, a Prototype for Cooperating MiroSOT Soccer-Playing Robots
Abstract
Gregor Novak
: pp. 415-422
Human Intent Description in Environment Adaptive Product Model Objects
Abstract
László Horváth, and Imre J. Rudas
: pp. 423-429
Maintenance of Building Blocks in GA Using Symbiotic Evolutionary Viruses
Abstract
Yoshiaki Sakakura, Noriyuki Taniguchi, Yukinobu Hoshino, and Katsuari Kamei
: pp. 430-436
Genetic Network Programming for Automatic Program Generation
Abstract
Shingo Mabu, Kotaro Hirasawa, Yuko Matsuya, and Jinglu Hu

No.3

(May)

Selected Papers in SCIS & ISIS 2004 – No.2

Selected Papers in SCIS & ISIS 2004 – No.2

: p. 225
Selected Papers in SCIS & ISIS 2004 – No.2
Takehisa Onisawa

The Joint Conference of the 2nd International Conference on Soft Computing and Intelligent Systems and the 5th International Symposium on Advanced Intelligent Systems (SCIS & ISIS 2004) held at Keio University in Yokohama, Japan, on September 21-24, 2004, attracted over 300 papers in fields such as mathematics, urban and transport planning, entertainment, intelligent control, learning, image processing, clustering, neural networks applications, evolutionary computation, system modeling, fuzzy measures, and robotics. The Program Committee requested reviewers in SCIS & ISIS 2004 to select papers for a special issue of the Journal of Advanced Computational Intelligence & Intelligent Informatics (JACIII), with 27 papers accepted for publication in a two-part SCIS & ISIS 2004 special – Vol.9, No.2, containing 13 and the second part containing 14. Paper 1 details tap-changer control using neural networks. Papers 2-5 deal with image processing and recognition – Paper 2 proposing a model of saliency-driven scene learning and recognition and applying its model to robotics, paper 3 discussing breast cancer recognition using evolutionary algorithms, paper 4 covering a revised GMDH-typed neural network model applied to medical image recognition, paper 5 presenting how to compensate for missing information in the acquisition of visual information applied to autonomous soccer robot control. Paper 6 details gene expressions networks for 4 fruit fly development stages. Paper 7 proposes an α-constrained particle swarm optimized for solving constrained optimization problem. Paper 8 develops a fuzzy-neuro multilayer perceptron using genetic algorithms for recognizing odor mixtures. Paper 9 discusses how to integrate symbols into neural networks for the fusion of computational and symbolic processing and its effectiveness demonstrated through simulations. Paper 10 proposes an electric dictionary using a set of nodes and links whose usefulness is verified in experiments. Paper 11 presents a multi-agent algorithm for a class scheduling problem, showing its feasibility through computer simulation. Paper 12 proposes inductive temporal formula specification in system verification, reducing memory and time in the task of system verification. Paper 13 applies an agent-based approach to modeling transport using inductive learning by travelers and an evolutionary approach. The last paper analyzes architectural floor plans using a proposed index classifying floor plans from the user’s point of view. We thank reviewers for their time and effort in making these special issues available so quickly, and thank the JACIII editorial board, especially Editor-in-Chief Profs. Hirota and Fukuda and Managing Editor Kenta Uchino, for their invaluable aid and advice in putting these special issues together.

: pp. 226-234
Improved ANN Based Tap-Changer Controller Using Modified Cascade-Correlation Algorithm
Abstract
M. Fakhrul Islam, Joarder Kamruzzaman, and Guojun Lu
: pp. 235-243
Saliency-Driven Scene Learning and Recognition Based on Competitively Growing Neural Network Using Temporal Coding
Abstract
Masayasu Atsumi
: pp. 244-256
A Fully Automated Breast Cancer Recognition System Using Discrete-Gradient Based Clustering and Multi Category Feature Selection
Abstract
Ranadhir Ghosh, Moumita Ghosh, and John Yearwood
: pp. 257-267
Revised GMDH-Type Neural Networks Using AIC or PSS Criterion and Their Application to Medical Image Recognition
Abstract
Tadashi Kondo, Junji Ueno, and Kazuya Kondo
: pp. 268-276
Intelligent Control of Autonomous Soccer Robots Compensating for Missing Information
Abstract
Hikari Fujii, Nobuyuki Kurihara, and Kazuo Yoshida
: pp. 277-281
Extraction of Developmentally Important Genes from Microarray Data
Abstract
A Reum Han, Dong-Soo Kahng, Tae Woo Ryu, Hyun S. Moon, Kwang Hyung Lee, and Doheon Lee
: pp. 282-289
Constrained Optimization by the α Constrained Particle Swarm Optimizer
Abstract
Tetsuyuki Takahama, and Setsuko Sakai
: pp. 290-296
Recognizing Odor Mixtures Using Optimized Fuzzy Neural Network Through Genetic Algorithms
Abstract
Benyamin Kusumoputro, and Teguh P. Arsyad
: pp. 297-303
Analysis of Symbol Generation and Integration in a Unified Model Based on a Neural Network
Abstract
Yukari Yamauchi, and Shun'ichi Tano
: pp. 304-313
A New Electronic Dictionary with Meaning Description of Case Frame
Abstract
Kouhei Shimizu, and Masafumi Hagiwara
: pp. 314-320
Applying Multi-Agent Algorithm to a Class Scheduling System
Abstract
Eiji Nunohiro, and Kenneth J. Mackin
: pp. 321-328
Inductive Temporal Formula Specifications for System Verification
Abstract
Chikatoshi Yamada, Yasunori Nagata, and Zensho Nakao
: pp. 329-336
Dynamic Mode Choice of Commuters in an Agent-Based Simulation Model with Inductive Learning Machines
Abstract
Yos Sunitiyoso, and Shoji Matsumoto
: pp. 337-342
Characteristics Analysis of Two-Dimensional Configuration Using Modified Box-Count Method
Abstract
Yusuke Sato, and Kiyoshi Shingu

No.2

(Mar)

Selected Papers in SCIS & ISIS 2004 – No.1

Selected Papers in SCIS & ISIS 2004 – No.1

: p. 91
Selected Papers in SCIS & ISIS 2004 – No.1
Takehisa Onisawa

The Joint Conference of the 2nd International Conference on Soft Computing and Intelligent Systems and the 5th International Symposium on Advanced Intelligent Systems (SCIS & ISIS 2004) was held at Keio University in Yokohama, Japan, on September 21-24, 2004. Over 300 papers in various fields, for example, mathematics, urban and transport planning, entertainment, intelligent control, learning, image processing, clustering, neural networks application, evolutionary computation, system modeling, fuzzy measures, and robotics were submitted to the conference. The Program Committee required reviewers in SCIS & ISIS 2004 to select excellent papers considering publication in a special issue of the Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII). Some 45 papers were selected and some of them accepted by other reviewers will be published in a two-part special issue of SCIS & ISIS 2004. In this, the first part, 13 papers have been classified into six groups — papers 1-3 under intelligent control, paper 4 under robotics, papers 5 and 6 under neural network applications, papers 7-9 under evolutionary computation applications, paper 10 under human behavior analysis, and papers 11-13 under image processing. Remaining papers currently under review will be published in the next volume. We thank the reviewers for their time and effort in making these special issues possible so quickly, and thank the JACIII editorial board, especially Profs. Hirota and Fukuda, the Editors-in-Chief and Managing Editor Kenta Uchino for their invaluable aid and advice in putting these special issues together. This issue is dedicated to the late Prof. Toshiro Terano, who passed away on February 15, 2005. He will be greatly missed.

: pp. 92-99
Cascaded Fuzzy Congestion Controller for TCP/IP Traffic
Abstract
Tapio Frantti
: pp. 100-105
Self-Tuning Fuzzy Robust Control for Buildings with Sliding Bearing Isolation Under Seismic Excitation
Abstract
Ken Yeh, Chun-Chieh Chien, Cheng-Wu Chen, and Han-Hsi Liang
: pp. 106-113
Distributed Route Guidance Systems with Self-Organized Multi-Layered Vector Fields
Abstract
Kosuke Sekiyama, and Yasuhiro Ohashi
: pp. 114-120
Taxonomy of Atomic Actions for Home-Service Robots
Abstract
Hyunseok Kim, Yuchul Jung, and Yong K. Hwang
: pp. 121-126
Using Attenuation Coefficient Generating Function in Parallel Execution of Neural Networks for Solving SAT
Abstract
Kairong Zhang, and Masahiro Nagamatu
: pp. 127-133
Studies on an Electronic Analog of a Recurrent Neural Network with Retrieval Phase Weight Adaptations
Abstract
Vishwanathan Mohan, Yashwant V. Joshi, Anand Itagi, and Garipelli Gangadhar
: pp. 134-141
Forecasting Electric Load by Support Vector Machines with Genetic Algorithms
Abstract
Ping-Feng Pai, Wei-Chiang Hong, and Chih-Shen Lin
: pp. 142-149
Simulation of Developmental Process of Organism and Application to Structural Design
Abstract
Masato Inoue, and Yoshiyuki Matsuoka
: pp. 150-158
Evolutionary Pose Measurement by Stereo Model Matching
Abstract
Wei Song, Yasushi Mae, and Mamoru Minami
: pp. 159-165
Analysis and Simulation of Group Behavior Using a Dynamic Sphere of Influence
Abstract
Tsuyoshi Taki, and Junichi Hasegawa
: pp. 166-174
A Competitive Learning Algorithm with Controlling Maximum Distortion
Abstract
Takeshi Miura, Kentaro Sano, Kenichi Suzuki, and Tadao Nakamura
: pp. 175-180
Fingerprint Matching Algorithm Using String-Based MHC Detector Set
Abstract
Jae-Won Jeong, In-Hoon Jang, and Kwee-Bo Sim
: pp. 181-195
Fuzzy Image Matching for Pose Recognition of Occluded Knee Implants Using Fluoroscopy Images
Abstract
Syoji Kobashi, Toshihiko Tomosada, Nao Shibanuma, Motoi Yamaguchi, Hirotsugu Muratsu, Katsuya Kondo, Shinichi Yoshiya, Yutaka Hata, and Masahiro Kurosaka
: pp. 196-202
A Proposal of Fuzzy Modeling on Fusion Axes
Abstract
Kosuke Yamamoto, Tomohiro Yoshikawa, and Takeshi Furuhashi
: pp. 203-210
Strategy Acquisition for Games Based on Simplified Reinforcement Learning Using a Strategy Network
Abstract
Masaaki Kanakubo, and Masafumi Hagiwara
: pp. 211-222
Integrated Intelligence Control Based on Fuzzy and AI for Reheating Furnace
Abstract
Yingxin Liao, Min Wu, Kaoru Hirota, Fangyan Dong, and Weihua Cao

No.1

(Jan)

Intelligent Systems: Methodology, Models, and Applications in Emerging Technologies

Intelligent Systems: Methodology, Models, and Applications in Emerging Technologies

: pp. 3-4
Intelligent Systems: Methodology, Models, and Applications in Emerging Technologies
Vassil Sgurev, Vladimir Jotsov, and Mincho Hadjiski

From year to year the number of investigations on intelligent systems grows rapidly. For example this year 245 papers from 45 countries were sent for the Second International IEEE Conference on Intelligent Systems (www.ieee-is.org; www.fnts-bg.org/is) and this is an increase of more than 50% by all indicators. The presented papers on intelligent systems were marked by big audiences and they provoked a significant interest that ultimately led to the formation of vivid discussions, exchange of ideas and locally provoked the creation of working groups for different applied projects. All this reflects the worldwide tendencies for the leading role of the research on intelligent systems theoretically and practically. The greater part of the presented research dealt with traditional for the intelligent systems problems like artificial intelligence, knowledge engineering, intelligent agents, neural and fuzzy networks, intelligent data processing, intelligent control and decision making systems, and also new interdisciplinary problems like ontology and semantics in Internet, fuzzy intuitionistic logic. The majority of papers from the European and American researchers are dedicated to the theory and the applications of the intelligent systems with machine learning, fuzzy inference or uncertainty. Another big group of papers focuses on the domain of building and integrating ontologies of applications with heterogeneous multiagent systems. A great number of papers on intelligent systems deals with fuzzy sets. The papers of many other researchers underscore the significance of the contemporary perception-oriented methods and also of different applications in the intelligent systems. On the first place this is valid for the paradigm of L. A. Zadeh ‘computing with words’. The Guest Editors in the present specialized journal volume would like to introduce a wealth of research with an applied and theoretical character that possesses a common characteristic and it is the conference best papers complemented and updated by the new elaborations of the authors during the last half a year. A short description of the presented in the volume papers follows. In ‘Combining Local and Global Access to Ontologies in a Multiagent System’ R. Brena and H. Ceballos (Mexico) proposed an original way for operation with ontologies where a part of the ontology is processed by a client’s component and the rest is transmitted to the other agents by an ontology agent. The inter-agent communication is improved in this way. In ‘Fuzzy Querying of Evolutive Situations: Application to Driving Situations’ S. Ould Yahia and S. Loriette-Rougegrez (France) present an approach to analysis of driving situations using multimedia images and fuzzy estimates that will improve the driver’s security. In ‘Rememberng What You Forget in an Online Shopping Context’ M. Halvey and M. Keane (Ireland) presented their approach to constructing online system that predicts the items for future shopping sessions using a novel idea called Memory Zones. In ‘Reinforcement Learning for Online Industrial Process Control’ the authors J. Govindhasamy et al. (Ireland) use a synthesis of dynamic programming, reinforcement learning and backpropagation for a goal of modeling and controlling an industrial grinding process. The felicitous combination of methods contributes for a greater effectiveness of the applications compared to the existing controllers. In ‘Dynamic Visualization of Information: From Database to Dataspace’ the authors C. St-Jacques and L. Paquin (Canada) suggested a friendly online access to large multimedia databases. W. Huang (UK) redefines in ‘Towards Context-Aware Knowledge Management in e-Enterprises’ the concept of context in intelligent systems and proposes a set of meta-information elements for context description in a business environment. His approach is applicable in the E-business, in the Semantic Web and in the Semantic Grid. In ‘Block-Based Change Detection in the Presence of Ambient Illuminaion Variations’ T. Alexandropoulos et al. (Greece) use a statistic analysis, clustering and pattern recognition algorithms, etc. for the goal of noise extraction and the global illumination correction. In ‘Combining Argumentation and Web Search Technology: Towards a Qualitative Approach for Ranking Results’ C. Chesñevar (Spain) and A. Maguitman (USA) proposed a recommender system for improving the WEB search. Defeasible argumentation and decision support methods have been used in the system. In ‘Modified Axiomatic Basis of Subjective Probability’ K. Tenekedjiev et al. (Bulgaria) make a contribution to the axiomatic approach to subjective uncertainty by introducing a modified set of six axioms to subjective probabilities. In ‘Fuzzy Rationality in Quantitative Decision Analysis’ N. Nikolova et al. (Bulgaria) present a discussion on fuzzy rationality in the elicitation of subjective probabilities and utilities. The possibility to make this special issue was politely offered to the Guest Editors by Prof. Kaoru Hirota, Prof. Toshio Fukuda and we thank them for that. Due to the help of Kenta Uchino and also due to the new elaborations presented by explorers from Europe and America the appearance of this special issue became possible.

: pp. 5-12
Combining Local and Global Access to Ontologies in a Multiagent System
Abstract
Ramon Brena, and Hector G. Ceballos
: pp. 13-17
Fuzzy Querying of Evolutive Situations: Application to Driving Situations
Abstract
Sabiha Ould Yahia, and Sophie Loriette-Rougegrez
: pp. 18-22
Remembering What You Forget in an Online Shopping Context
Abstract
Martin Halvey, and Mark T. Keane
: pp. 23-30
Reinforcement Learning for Online Industrial Process Control
Abstract
James J. Govindhasamy, Seán F. McLoone, George W. Irwin, John J. French, and Richard. P. Doyle
: pp. 31-38
Dynamic Visualization of Information: From Database to Dataspace
Abstract
Claude St-Jacques, and Louis-Claude Paquin
: pp. 39-45
Towards Context-Aware Knowledge Management in e-Enterprises
Abstract
Weihong Huang
: pp. 46-52
Block-Based Change Detection in the Presence of Ambient Illumination Variations
Abstract
Theodoros Alexandropoulos, Vassili Loumos, and Eleftherios Kayafas
: pp. 53-60
Combining Argumentation and Web Search Technology: Towards a Qualitative Approach for Ranking Results
Abstract
Carlos Iván Chesñevar, and Ana Gabriela Maguitman
: pp. 61-64
Modified Axiomatic Basis of Subjective Probability
Abstract
Kiril Tenekedjiev, Anastas Krushev, and Natalia Nikolova
: pp. 65-69
Fuzzy Rationality in Quantitative Decision Analysis
Abstract
Natalia Nikolova, Aleksei Shulus, Daniela Toneva, and Kiril Tenekedjiev
: pp. 70-79
Automated 3D Surface Display for Evaluating Meniscal Tears Aided by Fuzzy Expert System
Abstract
Yutaka Hata, Syoji Kobashi, Katsuya Kondo, and Tomoharu Nakano
: pp. 80-88
Fractal Image Coding with Simulated Annealing Search
Abstract
Shen Furao, and Osamu Hasegawa

Vol.8 (2004)

No.6

(Nov)

Selected Papers from InTech'03

Selected Papers from InTech'03

: p. 565
Selected Papers from InTech’03
Pratit Santiprabhob, Nipon Theera-Umpon, and Sansanee Auephanwiriyakul

On behalf of the Fuzzy systems and Intelligent technologies Research Society of Thailand (FIRST), Chiang Mai University, and Assumption University of Thailand, which have jointly organized the 4th International Conference on Intelligent Technology (InTech), we thank the editorial board of the Journal of Advanced Computational Intelligence and Intelligent Informatics for devoting part of this issue to selected papers from the Conference. The 4th InTech was held during December 17-19, 2003, in the lovely northern Thai city of Chiang Mai, becoming the most successful InTech ever, with over 110 papers accepted after stringent reviews for presentation at the Conference. Papers selected for publication in this special issue have been revised by their authors based on Journal guidelines. These papers detail a variety of applications of different intelligent technologies, ranging from data classification, system identification, and signal processing to full-text search and robotics. The technologies themselves are also varied, including fuzzy logic, genetic algorithms, regression, and data classification. We thank our reviewers, who have worked tirelessly in reviewing papers for the conference and selecting papers for this special issue. We also thank Professors Kaoru Hirota and Hung T. Nguyen for their ongoing support for InTech since its inception in 2000.

: pp. 566-572
Application of Kernel Trick to Fuzzy c-Means with Regularization by K-L Information
Abstract
Hidetomo Ichihashi, and Katsuhiro Honda
: pp. 573-581
A Fast Dynamic Full-Text Search Method Using Efficient Block Management Structure
Abstract
Masao Fuketa, El-Sayed Atlam, Elmarhomy Ghada, and Jun-ichi Aoe
: pp. 582-590
Accelerated Genetic Programming for Intelligent Fuzzy Robots
Abstract
Yasuyuki Murai, Koki Matsumura, Hisayuki Tatsumi, Hiroyuki Tsuji, and Shinji Tokumasu
: pp. 591-598
Weighted Similarity Classifier Using Differential Evolution and Genetic Algorithm in Weight Optimization
Abstract
Pasi Luukka, and Jouni Sampo
: pp. 599-605
Comparison of Linguistic and Regular Hard C-Means in Postoperative Patient Data
Abstract
Sansanee Auephanwiriyakul, and Nipon Theera-Umpon
: pp. 606-612
Leeway Prediction of Oceanic Disastrous Target via Support Vector Regression
Abstract
Nipon Theera-Umpon, and Udomsak Boonprasert
: pp. 613-620
Single-Channel Noise Reduction for Multiple Background Noises Using Perceptual Wavelet Packet Transform and Fuzzy Logic
Abstract
Montri Phothisonothai, Pinit Kumhom, and Kosin Chamnongthai
: pp. 621-626
Studies on Effects of Initialization on Structure Formationand Generalization of Structural Learning with Forgetting
Abstract
Hiroshi Shiratsuchi, Hiromu Gotanda, Katsuhiro Inoue, and Kousuke Kumamaru
: pp. 627-632
Separability Conditions for Multilayer Nets Having Solutions and Convergent Superiority of Bipolar Nets
Abstract
Hiroshi Shiratsuchi, Hiromu Gotanda, Katsuhiro Inoue, and Kousuke Kumamaru
: pp. 633-638
Hierarchical Concept Structures Based Data Retrieval/Mining by Fuzzy Document Ordering System
Abstract
Tadashi Ohashi, Hajime Nobuhara, and Kaoru Hirota
: pp. 639-648
Color Instance-Based Reasoning and its Application to Dynamic Image Restoration Under Low Luminance Conditions
Abstract
Yutaka Hatakeyama, Kazuhiko Kawamoto, Hajime Nobuhara, Shin-ichi Yoshida, and Kaoru Hirota

No.5

(Sep)

Computational Cybernetics

Computational Cybernetics

: p. 453
Computational Cybernetics
Wilfried Elmenreich, and Imre J. Rudas

This issue contains selected papers from the International IEEE Conference on Computational Cybernetics that took place in August 2003 in Hungary at the site of lake Balaton. Computational Cybernetics is the synergetic integration of Cybernetics and Computational Intelligence techniques. Cybernetics was defined by Wiener as “the science of control and communication, in the animal and the machine”. The word “cybernetics” itself stems from the Greek “kybernetes” that means pilot or governor. Thus, the science of computational Cybernetics is especially concerned with the comparative study of automatic control systems. Furthermore, Computational Cybernetics covers not only mechanical, but biological (living), social and economical systems and for this uses computational intelligence based results of communication theory, signal processing, information technology, control theory, the theory of adaptive systems, the theory of complex systems (game theory, operational research), and computer science. We have selected 14 papers from the conference covering the fields of system design and modeling, neural networks, and fuzzy control, which resemble the great variety of computational cybernetics. While it is sometimes difficult to integrate over these differing fields, we expect the evolution of future intelligent systems at the service of mankind by the synergetic integration of these different areas. It is our hope that the papers in this issue will inspire and help our readers in the development of advanced intelligent systems.

: pp. 454-459
Concept-Based Interactive Brainstorming in Engineering Design
Abstract
Gideon Avigad, Amiram Moshaiov, and Neima Brauner
: pp. 460-468
Translated Multiplicative Neuron: An Extended Multiplicative Neuron that can Translate Decision Surfaces
Abstract
Eduardo Masato Iyoda, Hajime Nobuhara, and Kaoru Hirota
: pp. 469-476
Motion-Based Template Matching for Obstacle Detection
Abstract
Kazuhiko Kawamoto, Naoya Ohnishi, Atsushi Imiya, Reinhard Klette, and Kaoru Hirota
: pp. 477-481
Learning from Examples and Comparing Models of Human Motion
Abstract
Marek Kulbacki, Bartosz Jablonski, Ryszard Klempous, and Jakub Segen
: pp. 482-487
Microstatistic Multi-User Detection Receiver
Abstract
Dusan Kocur, Jana Cízová, and Stanislav Marchevský
: pp. 488-494
Anytime System Scheduler for Insufficient Resource Availability
Abstract
Annamária R. Várkonyi-Kóczy, and Gábor Samu
: pp. 495-498
Energy-Conservative Algorithm for the Numerical Solution of Initial-Value Hamiltonian System Problems
Abstract
Edit Miletics
: pp. 499-506
Development of Fuzzy Controllers with Dynamics Regarding Stability Conditions and Sensitivity Analysis
Abstract
Radu-Emil Precup, Stefan Preitl, and Péter Korondi
: pp. 507-513
Evolutionary Design of Combinational Logic Circuits
Abstract
Cecília Reis, J. A. Tenreiro Machado, and J. Boaventura Cunha
: pp. 514-522
A Combined Solution of the Inverse Kinematic Task in the Vicinity of the Singularities
Abstract
Imre J. Rudas, József K. Tar, János F. Bitó, Ágnes Szeghegyi, and Krzysztof R. Kozlowski
: pp. 523-529
A Test Model for Hardware and Software Systems
Abstract
József Sziray
: pp. 530-534
New Method of Program Selection in Digital TV Receivers and its Evaluation by Users
Abstract
Petr Weissar, Jiri Pinker, Miloslava Hrichova, and Jaroslav Firt
: pp. 535-543
Kalman-Filter Based Control and Performance Monitoring Systems
Abstract
Attila L. Bencsik
: pp. 544-552
Possibilities for Application of Associative Objects with Built-in Intelligence in Engineering Modeling
Abstract
László Horváth, and Imre J. Rudas
: pp. 553-561
Sliding Mode Robot Control with Friction and Payload Estimation
Abstract
Lörinc Márton, and Béla Lantos

No.4

(Jul)

Special Issue on Papers Selected in ISIS & SCIS 2003

Special Issue on Papers Selected in ISIS & SCIS 2003

: p. 349
Papers Selected in ISIS & SCIS 2003
Yong-Soo Kim, and Kwee-Bo Sim

This special issue of journal covers a broad field ranging from intelligent systems to robotics. These papers were selected among the papers that were presented at the Joint 4th International Symposium on Advanced Intelligent Systems and 2nd International Conference on Soft Computing and Intelligent Systems which was held in Jeju, Korea on September 25-28, 2003. In the above symposium, there was a wide spectrum of intelligent systems and related topics, including sessions: intelligent systems, intelligent control, fuzzy sets, fuzzy systems, neural networks, robotics, genetic algorithms, image processing, soft computing, artificial life, etc. Many interesting results were presented at the symposium. Among these various papers, this special issue offers a selection of sixteen papers that contribute to advances of intelligent systems in various aspects. The topics that the selected papers deal with are fuzzy controller for the mobile robot control, neural networks and their application to image processing, intelligent control for a robot, intelligent system for probe detection, fuzzy image processing, genetic algorithms, fuzzy clustering for incomplete categorical data, predictive fuzzy controller for an electric four-wheeled vehicle. As guest editors of this special issue, we would like to express our thanks to authors for their contribution, the anonymous referees for their review, and Prof. Kaoru Hirota for his giving the opportunity to publish this special issue.

: pp. 350-355
Intelligent Soft Driving System for a Four-Wheeled Electric Vehicle Eluding Dynamic Obstacles
Abstract
Masaki Inoue, and Seiji Yasunobu
: pp. 356-361
Co-Evolution of Fuzzy Controller for the Mobile Robot Control
Abstract
Kwang-Sub Byun, Chang-Hyun Park, and Kwee-Bo Sim
: pp. 362-368
Fuzzy Descriptor System Modeling and Control of Lagrange Dynamics with Regional Pole-Placement Constraint
Abstract
Jin-Shig Kang
: pp. 369-372
Design and Analysis of Probe Detection Systems for TCP Networks
Abstract
Se-Yul Lee, and Yong-Soo Kim
: pp. 373-378
A Fuzzification of Morphological Wavelets Based on Fuzzy Relational Calculus and its Application to Image Compression/Reconstruction
Abstract
Hajime Nobuhara, and Kaoru Hirota
: pp. 379-384
Fuzzy Aggregation Method Using Fisherface and Wavelet Decomposition for Face Recognition
Abstract
Keun-Chang Kwak, Witold Pedrycz, Hyoun-Joo Go, and Myung-Geun Chun
: pp. 385-389
Recognition of Car License Plates Using Morphological Information and SOM Algorithm
Abstract
Kwang-Baek Kim, and Dae-Su Kim
: pp. 390-396
Intelligent Logo Watermarking Based on Independent Component Analysis
Abstract
Thai Duy Hien, Zensho Nakao, and Yen-Wei Chen
: pp. 397-402
Simultaneous Application of Fuzzy Clustering and Quantification with Incomplete Categorical Data
Abstract
Katsuhiro Honda, Yoshihito Nakamura, and Hidetomo Ichihashi
: pp. 403-409
Safe Mobility System Cooperating with Human in Collaboration with Cyber City
Abstract
Toru Yamaguchi, Jun Kawakatsu, Jianping Jing, Ryuji Kurosaki, and Fumio Harashima
: pp. 410-414
Expert-Knowledge Gating Mechanism in the Hierarchical Modular System
Abstract
Jeong-Yon Shim
: pp. 415-420
A Study on Supplier Evaluation and Selection Method Based on Dependence
Abstract
Jong-Moon Ju, and Seung-Gook Hwang
: pp. 421-425
A Proposal of GA Using Symbiotic Evolutionary Viruses and its Virus Evaluation Techniques
Abstract
Yoshiaki Sakakura, Noriyuki Taniguchi, Yukinobu Hoshino, and Katsuari Kamei
: pp. 426-430
Development of an Automatic Tunneling Algorithm Based on Fuzzy Logic for the Microtunneling System
Abstract
Taedong Park, Janghyun Nam, Jeong-Su Han, Jun-Hyeong Do, and Zeungnam Bien
: pp. 431-436
Fault Detection of Induction Motors Using Fourier and Wavelet Analysis
Abstract
Hyeon Bae, Youn-Tae Kim, Sungshin Kim, Sang-Hyuk Lee, and Bo-Hyeun Wang
: pp. 437-441
Reliability Optimization Problems Using Adaptive Hybrid Genetic Algorithms
Abstract
Minoru Mukuda, YoungSu Yun, and Mitsuo Gen
: pp. 442-450
A Fuzzy Approach for Modelling the Effects of Noise Pollution on Human Performance
Abstract
Zaheeruddin, and V. K. Jain

No.3

(May)

Perspectives of Computational Intelligence in Robotics and Automation

Perspectives of Computational Intelligence in Robotics and Automation

: pp. 235-236
Perspectives of Computational Intelligence in Robotics and Automation
Max Q-H Meng, and Hong Zhang

As people attempt to build biomimetic robots and realize automation processes through artificial intelligence, computational intelligence plays a very important role in robotics and automation. This special issue contains several important papers that address various aspects of computational intelligence in robotics and automation. While acknowledging its limited coverage, this special issue offers a range of interesting contributions such as intelligent trajectory planning for flying and land mobile robots, fuzzy decision making, control of rigid and teleoperated robots, modeling of human sensations, and intelligent sensor fusion techniques. Let us scan through these contributions of this special issue. The first paper, “Planar Spline Trajectory Following for an Autonomous Helicopter,” by Harbick et al., proposes a technique for planar trajectory following for an autonomous aerial robot. A trajectory is modeled as a planar spline. A behavior-based control system stabilizes the robot and enforces trajectory following of an autonomous helicopter with a reasonable trajectory tracking error on the order of the size of the helicopter (1.8m). In the second paper, “A Biologically Inspired Approach to Collision-Free Path Planning and Tracking Control of a Mobile Robot,” by Yang et al., a novel biologically inspired neural network approach is proposed for dynamic collision-free path planning and stable tracking control of a nonholonomic mobile robot in a non-stationary environment, based on shunting equations derived from Hodgkin and Huxley’s biological membrane equation. The third paper, “Composite Fuzzy Measure and Its Application to Decision Making,” by Kaino and Kaoru, builds a composite fuzzy measure from fuzzy measures defined on fuzzy measurable spaces using composite fuzzy weights by the authors, with a successful application to an automobile factory capital investment decision making problem. In “Intelligent Control of a Miniature Climbing Robot,” by Xiao et al., a fuzzy logic based intelligent optimal control system for a miniature climbing robot to achieve precision motion control, minimized power consumption, and versatile behaviors is presented with validation via experimental studies. The fifth paper, “Incorporating Motivation in a Hybrid Robot Architecture,” by Stoytchev and Arkin, describes a hybrid mobile robot architecture capable of deliberative planning, reactive control, and motivational drives, which addresses three main challenges for robots living in human-inhabited environments: operating in dynamic and unpredictable environment, dealing with high-level human commands, and engaging human users. Experimental results for a fax delivery mission in a normal office environment are included. In the next paper, “Intelligent Scaling Control for Internet-based Teleoperation,” by Liu et al., an adaptive scaling control scheme, with a neural network based time-delay prediction algorithm trained using the maximum entropy principle, is proposed with successful experimental studies on an Internet mobile robot platform. The next paper, “Feature Extraction of Robot Sensor Data Using Factor Analysis for Behavior Learning,” by Fung and Liu, discusses important knowledge extraction of sensor data for robot behavior learning using a new approach based on the inter-correlation of sensor data via factor analysis and construction of logical perceptual space by hypothetical latent factors. Experimental results are included to demonstrate the process of logical perceptual space extraction from ultrasonic range data for robot behavior learning. “Trajectory Planning of Mobile Robots Using DNA Computing,” by Kiguchi et al., presents an optimal trajectory planning method for mobile robots using Watson-Crick pairing to find the shortest trajectory in the robot working area with the DNA sequences representing the locations of the obstacles removed during the process. The proposed algorithm is especially suitable for computing on a DNA molecular computer. In the ninth paper, “Computational Intelligence for Modeling Human Sensations in Virtual Environments,” by Lee and Xu, cascade neural networks with node-decoupled extended Kalman filter training for modeling human sensations in virtual environments are proposed, with a stochastic similarity measure based on hidden Markov models to calculate the relative similarity between model-generated sensations and actual human sensations. A new input selection technique, based on independent component analysis capable of reducing the data size and selecting the stimulus information, is developed and reported. The next paper, “Intelligent Sensor Fusion in Robotic Prosthetic Eye System,” by Gu et al., is concerned with the design, sensing and control of a robotic prosthetic eye that moves horizontally in synchronization with the movement of the natural eye. It discusses issues on sensor failure detection and recovery and sensor data fusion techniques using statistical methods and artificial neural network based methods. Simulation and experimental results are included to demonstrate the effectiveness of the results. The final contribution in our collection is a paper by Sun et al., entitled “A Position Control of Direct-Drive Robot Manipulators with PMAC Motors Using Enhanced Fuzzy PD Control.” It presents a simple and easy-to-implement position control scheme for direct-drive robot manipulators based on enhanced fuzzy PD control, incorporating two nonlinear tracking differentiators into a conventional PD controller. Experiments on a single-link manipulator directly driven by a permanent magnet AC (PMAC) motor demonstrate the validity of the proposed approach. The Guest Editors would like to thank the contributors and reviewers of this special issue for their time and effort in making this special issue possible. They would also like to express their sincere appreciation to the JACIII editorial board, especially Profs. Kaoru and Fukuda, Editors-in-Chief and Kenta Uchino, Managing Editor, for the opportunity and help they provided for us to put together this special issue.

: pp. 237-242
Planar Spline Trajectory Following for an Autonomous Helicopter
Abstract
Kale Harbick, James F. Montgomery, and Gaurav S. Sukhatme
: pp. 243-251
A Biological Inspired Approach to Collision-Free Path Planning and Tracking Control of a Mobile Robot
Abstract
Simon X. Yang, Max Q.-H. Meng, Gavin X. Yuan, and Peter X. Liu
: pp. 252-259
Composite Fuzzy Measure and its Application to Decision-Making
Abstract
Toshihiro Kaino, and Kaoru Hirota
: pp. 260-268
Intelligent Control of a Miniature Climbing Robot
Abstract
Jizhong Xiao, Jun Xiao, and Ning Xi
: pp. 269-274
Incorporating Motivation in a Hybrid Robot Architecture
Abstract
Alexander Stoytchev, and Ronald C. Arkin
: pp. 275-283
Intelligent Scaling Control for Internet-Based Teleoperation
Abstract
Peter Xiaoping Liu, Max Q-H Meng, and Jason J. Gu
: pp. 284-294
Feature Extraction of Robot Sensor Data Using Factor Analysis for Behavior Learning
Abstract
Wai-keung Fung, and Yun-hui Liu
: pp. 295-301
Trajectory Planning of Mobile Robots Using DNA Computing
Abstract
Kazuo Kiguchi, Keigo Watanabe, and Toshio Fukuda
: pp. 302-312
Computational Intelligence for Modeling Human Sensations in Virtual Environments
Abstract
Ka Keung Lee, and Yangsheng Xu
: pp. 313-323
Intelligent Sensor Fusion in Robotic Prosthetic Eye System
Abstract
Jason J. Gu, Max Meng, Albert Cook, and Peter Xiaoping Liu
: pp. 324-331
Position Control of Direct-Drive Robot Manipulators with PMAC Motors Using Enhanced Fuzzy PD Control
Abstract
Dong Sun, Y. X. Su, and James K. Mills
: pp. 332-335
Novel Approach to Decision-Tree Construction
Abstract
Wei Jin-Mao, Wang Shu-Qin, and Wang Ming-Yang
: pp. 336-345
Solving Truck Delivery Problems Using Integrated Evaluation Criteria Based on Neighborhood Degree and Evolutionary Algorithm
Abstract
Fangyan Dong, Kewei Chen, Eduardo Masato Iyoda, Hajime Nobuhara, and Kaoru Hirota

No.2

(Mar)

Special Issue on Pattern Recognition

Special Issue on Pattern Recognition

: p. 83
Pattern Recognition
Osamu Hasegawa

We are pleased to publish this special JACIII issue on pattern recognition featuring 3 invited and 14 regular papers. The first and second concern support vector machines and Bayesian networks by authors who are field experts, and should serve as an introduction to beginners and a resource for researchers. In the third paper, the authors propose an artificial neural network for pattern recognition using “living” neural cells. This paper was invited because the research it deals with is considered an example of the interfield research expected to develop in the 21st century. The remaining 14 regular papers are reviewed and selected from 19 submitted papers. In reviewing and selecting the 14 regular papers, covering a broad field range from basic theory to applied systems, we focused on the originality of each paper and the viewpoints of the authors toward problems and experimental results. This wide-ranging selection should prove both innovative and enlightening to interested readers. We thank Professors Kaoru Hirota and Toshio Fukuda, editors-in-chief of this journal, for their support of this special issue. We also thank the staff of Fuji Technology Press for its invaluable assistance.

: pp. 84-92
Support Vector Machine and Generalization
Abstract
Takio Kurita
: pp. 93-99
Bayesian Network: Probabilistic Reasoning, Statistical Learning, and Applications
Abstract
Yoichi Motomura
: pp. 100-107
Operation of Spatiotemporal Patterns Stored in Living Neuronal Networks Cultured on a Microelectrode Array
Abstract
Suguru N. Kudoh, and Takahisa Taguchi
: pp. 108-114
Rapid Discriminative Learning
Abstract
Jun Rokui
: pp. 115-120
Robust Fuzzy Clustering Based on Similarity between Data
Abstract
Kohei Inoue, and Kiichi Urahama
: pp. 121-129
A Growing Neural Network for Online Unsupervised Learning
Abstract
Shen Furao, and Osamu Hasegawa
: pp. 130-139
A View-Invariant Face Detection Method Based on Local PCA Cells
Abstract
Kazuhiro Hotta
: pp. 140-149
Pointing Device Based on Estimation of Trajectory and Shape of a Human Hand in a Monocular Image Sequence
Abstract
Satoru Odo, and Kiyoshi Hoshino
: pp. 150-155
Human Limb Extraction Based on Motion Estimation Using Optical Flow and Image Registration
Abstract
Toru Tamaki
: pp. 156-167
Tool Operation Recognition Based on Robust Optical Flow and HMM from Short-Time Sequential Image Data
Abstract
Hidetomo Sakaino, Yutaka Yanagisawa, and Tetsuji Satoh
: pp. 168-180
Extraction of Motion Characteristics Corresponding to Sensitivity Information Using Dance Movement
Abstract
Shihoko Kamisato, Satoru Odo, Yoshino Ishikawa, and Kiyoshi Hoshino
: pp. 181-189
Automatic Video Recording of Lecture’s Audience with Activity Analysis and Equalization of Scale for Students Observation
Abstract
Satoshi Nishiguchi, Yoshinari Kameda, Koh Kakusho, and Michihiko Minoh
: pp. 190-199
Joint Audio-Visual Tracking Based on Dynamically Weighted Linear Combination of Probability State Density
Abstract
Masaru Tsuchida, Takahito Kawanishi, Hiroshi Murase, and Shigeru Takagi
: pp. 200-207
Printed Japanese Character Recognition Using Multiple Commercial OCRs
Abstract
Hidetoshi Miyao, Yasuaki Nakano, Atsuhiko Tani, Hirosato Tabaru, and Toshihiro Hananoi
: pp. 208-215
Stave Extraction for Printed Music Scores Using DP Matching
Abstract
Hidetoshi Miyao, and Masayuki Okamoto
: pp. 216-222
Classification of Remotely Sensed Images Using Independent Component Analysis and Spatial Consistency
Abstract
Xiang-Yan Zeng, Yen-Wei Chen, and Zensho Nakao
: pp. 223-230
Behavior Learning and Animation Synthesis of Falling Flat Objects
Abstract
Kohta Aoki, Osamu Hasegawa, and Hiroshi Nagahashi

No.1

(Jan)

Selected Papers from Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM'03)

Selected Papers from Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM'03)

: p. 1
Selected Papers from Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM’03)
Elmer P. Dadios

I am happy and honored to publish a special issue on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) in the JACIII. The demand for the application of HNICEM is rapidly growing. We have received many papers focused in the fields of Manufacturing, Academe, and Business during the first international conference on HNICEM. This special issue includes 11 papers carefully and evenly selected from these fields. I strongly believed that the topics in this issue encompass technologies that will play a significant role in the development of HNICEM. I am very grateful to Prof. Toshio Fukuda and Prof. Kaoru Hirota, the Chief editors of JACIII for inviting me as Guest editor in this Journal. I would like to express my warmest thanks and gratitude to the distinguished authors that have contributed to this special issue, for their outstanding contributions and cooperation. I am hoping that the JACIII will continually provide papers regarding progress of new technologies particularly in the fields of HNICEM.

: pp. 2-6
A New Way of Discovery of Belief, Desire and Intention in the BDI Agent-Based Software Modeling
Abstract
Chang-Hyun Jo
: pp. 7-13
Integration of Distributed Robotic Systems
Abstract
Fakhri Karray, Rogelio Soto, Federico Guedea, and Insop Song
: pp. 14-22
A Searching and Tracking Framework for Multi-Robot Observation of Multiple Moving Targets
Abstract
Zheng Liu, Marcelo H. Ang Jr., and Winston Khoon Guan Seah
: pp. 23-28
Possibilistic Uncertainty Propagation and Compromise Programming in the Life Cycle Analysis of Alternative Motor Vehicle Fuels
Abstract
Raymond R. Tan, Alvin B. Culaba, and Michael R. I. Purvis
: pp. 29-38
Dynamic Color Object Recognition Using Fuzzy Logic
Abstract
Napoleon H. Reyes and Elmer P. Dadios
: pp. 39-44
An Optical Coordinate Measuring Machine for Nanoscale Dimensional Metrology
Abstract
Eric Kirkland, Thomas R. Kurfess, and Steven Y. Liang
: pp. 45-55
Humanoid Robot HanSaRam: Recent Progress and Developments
Abstract
Jong-Hwan Kim, Dong-Han Kim, Yong-Jae Kim, Kui-Hong Park, Jae-Ho Park, Choon-Kyoung Moon, Jee-Hwan Ryu, Kiam Tian Seow, and Kyoung-Chul Koh
: pp. 56-64
Generalized Associative Memory Models: Their Memory Capacities and Potential Application
Abstract
Teddy N. Yap, Jr. and Arnulfo P. Azcarraga
: pp. 65-71
Hybrid Fuzzy Logic Strategy for Soccer Robot Game
Abstract
Elmer A. Maravillas, Napoleon H. Reyes, and Elmer P. Dadios
: pp. 72-80
Image Compression and Reconstruction based on Fuzzy Relation and Soft Computing Technology
Abstract
Kaoru Hirota, Hajime Nobuhara, Kazuhiko Kawamoto, and Shin’ichi Yoshida

Vol.7 (2003)

No.3

(Oct)

Intelligent Technologies, Fuzzy Systems and Applications

Intelligent Technologies, Fuzzy Systems and Applications

: p. 251
Intelligent Technologies, Fuzzy Systems and Applications
Nguyen Hoang Phuong

In this issue, we are featuring fifteen papers devoted to intelligent technologies, fuzzy systems and their applications as a special issue of the journal. The papers are selected from papers accepted and presented at the joint Third International Conference on Intelligent Technologies and Third Vietnam-Japan Symposium on Fuzzy Systems and Applications (InTech/VJFuzzy’2002) that was held in Hanoi, Vietnam on December 3-5, 2002. In InTech/VJFuzzy’2002, there was a wide spectrum of research topics on artificial intelligence, fuzzy systems, soft computing, and related fields such as”fuzzy logic”, “fuzzy set theory”, “fuzzy systems”, “AI techniques”, “Bayesian networks”, “genetic algorithms”, “neural networks”, “knowledge discovery and data mining”, “speech recognition”, “soft computing in medicine”, among others. More than 60 papers were accepted and presented by authors from many countries, including Australia, China, India, Korea, Germany, France, Thailand, Taiwan, Japan, Vietnam, and U.S.A. Fifteen papers that received outstanding recommendations from its reviews were selected in this special issue. The topics addressed by these selected papers include fuzzy rule systems, fuzzy inference methods, fuzzy and rough models, problem solving with equivalent transformation, genetic algorithms, reinforcement learning, non–monotonic reasoning, support vector machines, Hedge algebra, intelligent control, natural language understanding, self–organizing map learning, soft computing and data mining in medicine. As editors of this special issue, we would like to express our sincere gratitude to paper’s authors in this issue. Our special thanks go to the anonymous referees for their excellent job, Ms. Kumiko Sato for her help in coordinating the publication of the issue, the Editorial Board of JACIII, especially Professor Kaoru Hirota for his great support and encouragement. Finally, we wish to thank Professors Hung T. Nguyen, Michio Sugeno and Pratit Santiprabhob for their help and contribution to InTech/VJFuzzy’2002. Without their support, the InTech/VJFuzzy’2002 and this issue would not be possible.

: pp. 252-259
Some Preliminary Results on the Stableness of Extended F-rule Systems
Abstract
Nguyen Thanh Thuy, Phan Duong Hieu, and Takahiro Yamanoi
: pp. 260-267
How to Make Programs from Problem Descriptions in the Equivalent Transformation Paradigm
Abstract
Takahiko Ishikawa, Kiyoshi Akama, and Hiroshi Mabuchi
: pp. 268-275
Modeling and Analysis of Genetic Algorithms Based on the Viewpoint of Mixture Systems
Abstract
Jun-ichi Imai, Hiroyuki Shioya, and Masahito Kurihara
: pp. 276-282
Analysis of a Method Improving Reinforcement Learning Agents’ Policies
Abstract
Daisuke Kitakoshi, Hiroyuki Shioya, and Masahito Kurihara
: pp. 283-288
A Recursively Axiomatizable Subsystem of Levesque’s Logic of Only Knowing
Abstract
Ho Ngoc Duc
: pp. 289-293
Real Time Adaptive Color Segmentation for Mars Landing Site Identification
Abstract
Tuan A. Duong and Vu A. Duong
: pp. 294-305
The Fuzzy Description Logic ALCFH with Hedge Algebras as Concept Modifiers
Abstract
Steffen Hölldobler, Hans-Peter Störr, and Tran Dinh Khang
: pp. 306-314
Integration of Syntactic Analysis and Semantic Interpretation Based on Equivalent Transformation
Abstract
Hiroshi Mabuchi, Kiyoshi Akama, Takahiko Ishikawa, and Hidekatsu Koike
: pp. 315-321
Reordering Adaptive Directed Acyclic Graphs for Multiclass Support Vector Machines
Abstract
Thimaporn Phetkaew, Wanchai Rivepiboon, and Boonserm Kijsirikul
: pp. 322-329
Hybrid Probabilistic Models of Fuzzy and Rough Events
Abstract
Rolly Intan, Masao Mukaidono, and Hung T. Nguyen
: pp. 330-338
Intelligent Control of Nonlinear Dynamic Systems Using Immune Fuzzy Fusion
Abstract
Dong Hwa Kim
: pp. 339-347
Fuzzy Modeling for Modifying Standard Prescriptions of Oriental Traditional Medicine
Abstract
Nguyen Hoang Phuong, Pratit Santiprabhob, and Kaoru Hirota
: pp. 348-354
Temporal Abstraction for Long-Term Test Changes in the Hepatitis Domain
Abstract
Saori Kawasaki, Trong Dung Nguyen, and Tu Bao Ho
: pp. 355-361
A Novel Parallel Model for Self-Organizing Map and its Efficient Implementation on a Data-Driven Multiprocessor
Abstract
Ruck Thawonmas, Makoto Iwata, and Satoshi Fukunaga
: pp. 362-369
Fuzzy Inference Methods Employing T-norm with Threshold and Their Implementation
Abstract
Bui Cong Cuong, Nguyen Hoang Phuong, Ho Khanh Le, Bui Truong Son, and Koichi Yamada
: pp. 370-376
Phase Transitions in Fuzzy Clustering Based on Fuzzy Entropy
Abstract
Makoto Yasuda, Takeshi Furuhashi, and Shigeru Okuma
: pp. 377-385
New Error Diffusion Using Fuzzy Threshold Control
Abstract
Noriaki Suetake, and Rumiko Hashiba

No.2

(Jun)

Selected Papers from SCIS & ISIS 2002

Selected Papers from SCIS & ISIS 2002

: p. 71
Selected Papers from SCIS & ISIS 2002
Sadaaki Miyamoto, and Seiji Yasunobu

Much work has been done recently in soft computing, reflecting the growing, widespread interest in the emerging theory and technological development in this field. Soft computing has also been the subject of a number of new scientific conferences and symposiums, including the Joint 1st International Conference on Soft Computing and Intelligent Systems (SCIS) and 3rd International Symposium on Advanced Intelligent Systems (ISIS) at the National Institute of Advanced Industrial Science and Technology at Tsukuba on October 21–25, 2002. The first and second ISIS were held in Korea, and the joint conference has become internationally recognized. The conference at Tsukuba featured over 200 papers and discussions and information exchange by over 250 participants interested in state–of–the–art soft computing. The 20 papers in this special issue were selected from 209 of these conference presentations. In the selection process, guest editors first requested recommendation of papers to session chairs and organizers. From the resulting list, we asked if they could submit their papers. Submitted papers were reviewed as usual for this journal based on the JACIII standard, resulting in the acceptance of these 20. Most papers have been rewritten and updated, and we are proud of their high quality–a reflection of the SCIS & ISIS conference review process. Papers come from different areas: two focus on theory, including modal logic. Several study fuzzy control. Still others deal with different aspects of robotics. They also cover data analysis, image analysis, knowledge analysis, and language studies involving soft computing. This issue thus provides a concise summary of state–of–the–art soft computing methodologies. We thank the referees for their untiring efforts to complete reviews within the limited time given. We also thank Professor Kaoru Hirota and Professor Toshio Fukuda, editors–in–chief of this journal, for their kind invitation to this special issue. Professor Hirota, who is also the International Advisory Board Chair, and Dr. Takanori Shibata, the General Chair, are largely responsible for the great success of the SCIS & ISIS 2003 conference, where Guest Editor Miyamoto served the Program Chair and Yasunobu served the Special Sessions Chair. The results of their work are thus reflected in this issue. In closing, we also thank the staff at Fuji Technology Press for its on going assistance.

: pp. 72-78
Modifier Logics Based on Graded Modalities
Abstract
Jorma K. Mattila
: pp. 79-85
Cardinal-Probabilistic Interaction Indices and their Applications: A Survey
Abstract
Katsushige Fujimoto
: pp. 86-91
Adaptive Fuzzy Control for a SISO Nonlinear System
Abstract
Hugang Han, and Shuta Murakami
: pp. 92-100
Adaptive Fuzzy Control of One Linear Actuator Hopping Robot
Abstract
Son Kuswadi, Mitsuji Sampei, and Shigeki Nakaura
: pp. 101-107
Response Control of Variable Stiffness Structure Using Electromagnetic Clutch
Abstract
Toshihiro Irie, Kiyoshi Shingu, Keita Kitamura, and Yoshihiro Takagi
: pp. 108-114
A Study on a Foraging Behavior of Interacting Simple Robots
Abstract
Ken Sugawara, Masaki Sano, and Toshinori Watanabe
: pp. 115-123
Obstacle Avoidance for Quadruped Robots Using a Neural Network
Abstract
Tomohiro Yamaguchi, Keigo Watanabe, Kiyotaka Izumi, and Kazuo Kiguchi
: pp. 124-129
Automatic Generation of Expressive Body Movement Based on Cohen-kestenberg Lifelike Motion Stereotypes
Abstract
Toru Nakata
: pp. 130-138
Psychological and Social Effects of Robot-assisted Activity in the Elderly Robot-assisted at Health Service Facilities
Abstract
Kazuyoshi Wada, Takanori Shibata, Tomoko Saito, and Kazuo Tanie
: pp. 139-146
A Powerful Neural Network Method with Digital-contract Hints for Pricing Complex Options
Abstract
Jun Lu, and Hiroshi Ohta
: pp. 147-152
Electricity Demand and Price Analysis in California Using Possibility Regression Model
Abstract
Osamu Hirano, Masayasu Kanke, and Kazuhiro Ozawa
: pp. 153-159
Fuzzy Microaggregation for Microdata Protection
Abstract
Josep Domingo-Ferrer, and Vicenç Torra
: pp. 160-168
Fuzzy Information Granules: a Compact, Transparent and Efficient Representation
Abstract
Giovanna Castellano, Anna Maria Fanelli, and Corrado Mencar
: pp. 169-177
An Indiscernibility-Based Clustering Method with Iterative Refinement of Equivalence Relations -Rough Clustering-
Abstract
Shoji Hirano and Shusaku Tsumoto
: pp. 178-188
Synergetic Stereo Matching Algorithm for Occlusion and Reversal Position
Abstract
Tohru Irie, Hiroshi Maeda, and Norikazu Ikoma
: pp. 189-199
Interactive 3-D Segmentation of the Frontal Lobe in 3.0T IR-FSPGR MR Images Using Fuzzy Rule-Based ACM
Abstract
Yuji Fujiki, Syoji Kobashi, Mieko Matsui, Noriko Inoue, Katsuya Kondo, Yutaka Hata, and Tohru Sawada
: pp. 200-206
A Sequential Method for Combining Random Utility Model and Fuzzy Inference Model
Abstract
Backjin Lee, Akimasa Fujiwara, Yoriyasu Sugie, and Moon Namgung
: pp. 207-214
Fuzzy Traffic Controller in Ramp Metering of Urban Expressway
Abstract
Masashi Okushima, Yoshiharu Takihi, and Takamasa Akiyama
: pp. 215-222
A New Communication Method Using Natural Language as a Computer Communication Protocol
Abstract
Ichiro Kobayashi, Toru Sugimoto, Shino Iwashita, Michiaki Iwazume, Jun Ozawa, and Michio Sugeno
: pp. 223-228
Processing Technical Daily Reports in Offshore Petroleum Engineering – An Experience
Abstract
Kazuo Miura, Ivan Rizzo Guilherme, Celso Kazuyuki Morooka, and José Ricardo Pelaquim Mendes
: pp. 229-234
Properties of Interval Truth Values with Certainty Factor
Abstract
Masashi Emoto and Masao Mukaidono
: pp. 235-243
High-quality Multi-level Error Diffusion Method Employing Fuzzy Inference
Abstract
Noriaki Suetake and Masanori Togashi

No.1

(Feb)

Selected Papers FSS2002

Selected Papers FSS2002

: p. 1
Selected Papers FSS2002
Tetsuhisa Oda

Research in fuzzy system theory and its application has progressed rapidly in Japan since the first Fuzzy System Symposium (FSS) in 1985. This national meeting has been held annually for reading research papers by fuzzy system theory researchers. The Japan Society for fuzzy system theory and Systems (SOFT), set up in 1989, was made the SOFT’s official annual meeting. The 18th FSS (FSS 2002), held at the Nagoya Institute of Technology, Nagoya, Japan, from August 28 to 30, attracted over 320 participants and was the site of 197 lectures. At this FSS,Kaoru Hirota, President of the Society, declared, “It is necessary for researchers in fuzzy system theory in Japan to present results of their study in English for readers overseas. I am happy to announce that our society is to publish a journal of collected papers in English 3 times a year, in addition to the society journal in Japanese, entitled the Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII).’ ” The initial result is this special February 2002 issue, which contains papers from preparatory papers read at FSS2002. Editing of this special issue was entrusted to the executive committee of FS2002, with the symposium chair acting as the guest editor. Other members of the editing committee are Hitoshi Yano, Nagoya City University; Moritoshi Sasaki, Aichi University of Education; Yahachiro Tsukamoto, Meijo University; Takeshi Furuhashi, Mie University; Yasuhisa Hasegawa, Nagoya University; Miho Ohsaki, Shizuoka University; Hiroto Mizunuma, Meijyo University; Tomohiro Yoshikawa, Mie University; and Tsuyoshi Nakamura, Nagoya Institute of Technology. We thank the committee members and referees for paper selection , and Kumiko Satoh of Fuji Technology Press Ltd. for clerical work associated with the preparation of the journal. Most papers have been rewritten by the authors for this publication. Two are written in English and 7 in Japanese and translated into English after selection. At least 2 referees read each paper to select the final 9. Subjects include fuzzy data base, learning, fuzzy clustering, application for marketing, industrial application, psychological application, and fuzzy logic. All research is original and represents the current level and trends in fuzzy system theory research in Japan. Unfortunately, circumstances forced us to select papers from among 4-page preparatory papers despite the possibilities in 2-page papers. If, however, the FSS special issues of JACIII every year, up-to-date papers prepared by Japanese researchers will be available for review by overseas readers with a possible significant contribution to the research of fuzzy system theory worldwide. This will be a good opportunity for Japanese researchers to make their results known overseas, making participation in FSS even more meaningful. In January 2003, the official name of SOFT was changed to the Japan Society for fuzzy system theory and Intelligent Informatics. We sincerely hope that JACIII will become a useful tool for presenting the latest fuzzy system theory research in Japan to the world, and, in turn, support indirectly the society’s development.

: pp. 2-5
Query Expansion Using Conceptual Fuzzy Sets for Search Engines
Abstract
Masanori Tajima, Takayuki Kawabata, Tomoe Tomiyama, and Tomohiro Takagi
: pp. 6-9
Effective Use of Learning Knowledge by FEERL
Abstract
Yukinobu Hoshino and Katsuari Kamei
: pp. 10-18
Acquisition of Knowledge for Gymnastic Bar Action by Active Learning Method
Abstract
Yoshitaka Sakurai, Nakaji Honda, and Junji Nishino
: pp. 19-24
Algorithms of Hard c-Means Clustering Using Kernel Functions in Support Vector Machines
Abstract
Sadaaki Miyamoto and Youichi Nakayama
: pp. 25-30
Fuzzy c-Means Clustering Using Kernel Functions in Support Vector Machines
Abstract
Sadaaki Miyamoto and Daisuke Suizu
: pp. 31-39
A Fuzzy Inference System for Identifying Tissue Elasticity Using Ultrasound
Abstract
Tadashi Kimura, Kouki Nagamune, Syoji Kobashi, Katsuya Kondo, Yutaka Hata, and Kazuhiko Taniguchi
: pp. 40-46
An Agent System Using Basic Emotions as Communication Method
Abstract
Yosuke Dendo and Katsuari Kamei
: pp. 47-52
Fuzzy Three-valued Switching Functions Using Choquet Integral
Abstract
Eiichiro Takahagi
: pp. 53-67
GMP Based Fuzzy Reasoning: An Application to Sonar Based Navigation
Abstract
Kudret Demirli, Burhan Türksen, and Mohammad Molhim

Vol.6 (2002)

No.3

(Oct)

Regular papers

Regular Papers

: pp. 100-108
Implementing Fuzzy Learning Algorithms in a 6 DOF Hydraulic Parallel Link Manipulator: Control with Actuators’ Forces Fuzzy Compensation
Abstract
Zakarya Zyada, Yasuhisa Hasegawa and Toshio Fukuda
: pp. 109-114
State Feedback Stabilization in Nonlinear Time-Delay Systems
Abstract
Tsuyoshi Hori and Kazuo Tanaka
: pp. 116-125
A Method for Recognizing and Separating Trademark Image Outer Frames
Abstract
Koji Abe, Haruhiko Kimura, Hideo Nagashima and Taki Kanda
: pp. 126-134
Sigma-Pi Cascade Extended Hybrid Neural Network
Abstract
Eduardo Masato Iyoda, Kaoru Hirota and Fernando J. Von Zuben
: pp. 135-144
A Study on Deriving a Method for Chromosome Similarities Suitable for the Search Space
Abstract
Yoshifumi Banno, Tomohiro Yoshikawa, Hiroharu Kawanaka, Tsuyoshi Shinogi and Shinji Tsuruoka

No.2

(Jun)

Regular papers

Regular Papers

: pp. 72-78
Modeling Photon Counting Experiments using Fuzzy Logic Controller
Abstract
László Nádai
: pp. 79-83
Contribution to Creation of Complex System Macrosituations
Abstract
Eva Ocelíková and Ladislav Madarász
: pp. 84-92
Online Neofuzzy Neuron Flux Observer for Induction Motor Drives
Abstract
Regis P. Landim, Francisco A. S. Neves, Selenio R. Silva, Walmir M. Caminhas** and Benjamim R. Menezes**
: pp. 93-98
Kinematic Robustness of Manipulating Systems
Abstract
Alexandra M.S.F. Galhano and J. A. Tenreiro Machado

No.1

(Jan)

Selected Papers VJFUZZY'2001

Selected Papers VJFUZZY'2001

: p. 1
Selected Papers VJFUZZY’2001
Nguyen Hoang Phuong*and Koichi Yamada**

This special issue of the journal is devoted to Fuzzy Systems and their Applications. Today’s fuzzy technology is like a mighty dragon: every year, every day, new applications appear that are more and more helpful in our peaceful life. One of the main objectives of the Second International Vietnam-Japan Symposium on Fuzzy Systems and Applications (VJFUZZY’2001) is to help this powerful technology to achieve even more. VJFUZZY’2001 was held in Hanoi, Vietnam on December 7-8, 2001. In VJFUZZY’2001, there was a wide spectrum of fuzzy research and applications, including sessions: “Fuzzy Mathematics”, “Fuzzy Image/Signal Processing and Pattern recognition”, “Fuzzy Optimization/Programming”, “Fuzzy Data Analysis and its applications”, “Towards Combining Fuzzy, probability and other techniques”, “Learning, Neural Networks and Applications”, “Fuzzy/Intelligent Control”, “Natural Language Processing” etc. Many very interesting results were presented at the symposium. Among these various and excellent papers, this special issue offers a selection of nine papers that contribute to advances of computational intelligence in various aspects. The topics that the selected papers deal with are fuzzy relation with threshold, nonlinear optimization with convex polyhedral objective function, reinforcement learning of fuzzy control rules, learning of probabilistic causal models, data querying in fuzzy relational database, case-based reasoning in medial diagnosis, analysis of human brain activities for fuzzy and crisp calculations, fuzzy robust control of a decentralized system and image processing using fuzzy mathematical morphology. As editors of this special issue, we would like to express our thanks to all of the contributors for their interesting results, the anonymous referees for their thankless job and the Editorial Board of JACI, especially Prof. Kaoru Hirora, for the enthusiastic hospitality with which JACI agreed to have this special issue. Finally, we want to thank Prof. Hung T Nguyen and Prof. Michio Sugeno – for their supports to VJFUZZY’2001. Without their help, the VJFUZZY’2001 and then this special issue would not be impossible.

: pp. 2-6
Fuzzy Relation with Thresholds and Applications
Abstract
Bui Cong Cuong, Nguyen Hoang Phuong, Phan Hoang Anh, and Koichi Yamada
: pp. 7-18
Effective Linear Calculational Method for Nonlinear Optimization with a Convex Polyhedral Objective Function and Linear Constraints
Abstract
Busaba Phruksaphanrat and Ario Ohsato
: pp. 19-24
Reinforcement Leaning of Fuzzy Control Rules with Context-Specitic Segmentation of Actions
Abstract
Hideki Yamagishi, Hiroshi Kawakami, Tadashi Horiuchi, and Osamu Katai
: pp. 25-32
Leaning Causal Models with Conditional Causal Probabilities from Data
Abstract
Koichi Yamada
: pp. 33-40
Approximate Data Querying in Fuzzy Relational Database
Abstract
Rolly Intan, and Masao Mukaidono
: pp. 41-50
Developing Case-based Reasoning System for Medical Consultation Using the Importance of Features
Abstract
Nguyen Hoang Phuong, Nguyen Ba Tu and Ario Ohsato
: pp. 51-55
Difference in Areas of the Brain for Fuzzy and Crisp Calculation
Abstract
Takahiro Yamanoi, Masaaki Saito, Michio Sugeno and EIie Sanchez
: pp. 56-61
Decentralized Robust Fuzzy Sliding Mode Control Design of Interconnected Uncertain System
Abstract
Thai Quang Vinh, and Kaoru Hirota
: pp. 62-69
Application of Fuzzy Mathematical Morphology with Adaptive Structuring Elements to Seal Defect Testing
Abstract
Takuo Kikuchi and Shuta Murakami

Vol.5 (2001)

No.6

(Nov)

Regular papers

No.5

(Sep)

Selected Papers INES2000

Selected Papers INES2000

: p. 247
Selected Papers INES2000
Imre J. Rudas*and Leon Zlajpah**

In engineering practice we often have to deal with complex systems, where the conventional approaches for understanding and predicting the behavior of the system can prove to be inadequate. Hence, the researchers try to put some intelligence into the system. The term intelligence in this context still more or less remains a mysterious phenomenon and can be characterized by different abilities of the system or machine, such as adaptation, decision-making, learning, recognition, diagnostics, autonomy, etc. Many of the new results related to this area are published in Journals and in International Conference Proceedings. One such conference is the “IEEE International Conference on Intelligent Engineering Systems”. The fourth conference in this series (INES 2000) took place in Portoroz, Slovenia, on September 17-19,2000. There were around eighty participants from eighteen countries around the world. We are glad that so many authors have contributed to ideas related to the issues at the conference. Many of the papers were about applications and design, and others on more theoretical aspects of intelligent systems. This variety made the selection of papers for this special issue very difficult. Eight papers have been selected in the end, which cover different aspects of intelligent engineering systems. It should be pointed out that the respective authors were also kind to revise and update the presented papers for this special issue. The first paper deals with the manipulation problem where the motion changes depending on the state of the system as it is the case in the finger gaiting applications. To solve it the semi-stratified control theory using smooth motion planning is used. The proposed concept combines the stratified motion planning with the unconstrained finger allocations. In the second paper a special branch of Soft Computing developed for the control of mechanical devices is described. It reduces the number of free parameters and computational complexity. For illustration of the efficiency of the proposed adaptive control, a simulation of polishing with a 3 DOF robot is given. The next paper discusses the force control of redundant robots in an unstructured environment. A special attention is given to the decoupling of the task space and null space motion. For that the minimal null space approach is used. The proposed impedance controller assures good task space performances and minimizes the disturbances caused by obstacles. The performance of the proposed controllers has been evaluated by the simulation and by experiments on a real robot. The forth paper presents some advanced modeling approaches and methods. As one of the key issues a manufacturing process model fully associative with form feature based part model has been introduced. The motivation has been that the low level integration of design and manufacturing of mechanical parts, as identified by the authors, is still a main drawback of efficient application of expensive modeling systems. The proposed method allows for creating part model simultaneously with their analysis of machineability. The next paper discusses the design of fractal-order discrete-time controllers. Some approaches to implement fractal derivatives and integrals are analyzed. As the application of the theory of fractional calculus is rather new, many aspects remain to be investigated. The sixth paper demonstrates how to map classical dictionaries and similar structured data to a hypertext structure that is more suitable for the modern media. To achieve the new shape automatically, the HiLog language is used. The automated mapping is illustrated by an example based on Oxford Dictionary of Modern English. In the seventh paper a humanoid robotics shoulder is compared to the human shoulder. First, the capabilities of the robotics shoulder are analyzed and next, using the optical measurement system the human shoulder movements have been measured and analyzed. The last paper discusses the bias-variance tests on multi-layer perception. The performance of Bayesian neural networks is compared with the performance of neural networks trained with a gradient method. Additionally, it is analyzed if it is possible to use a number of networks in committee trained with gradient descent to achieve the performance of a Bayesian network.

: pp. 248-256
Semi-stratified Motion Planning of Multi-agent Manipulation
Abstract
István Harmati, Ma Lantos and Shahram Payandeh
: pp. 257-262
Symplectic Geometry Based Simple Algebraic Possibilities for Developing Adaptive Control for Mechanical Systems
Abstract
József K. Tar, Imre J. Rudas, János F. Bitó and Seppo J. Torvinen
: pp. 263-268
Experiments with Force Control of Redundant Robots in Unstructured Environment Using Minimal Null-space Formulation
Abstract
Bojan Nemec and Leon Zlajpah Institute Jozef Stefan
: pp. 269-278
Virtual Technology Based Associative Integration of Modeling of Mechanical Parts
Abstract
László Horváth and Imre J. Rudas
: pp. 279-285
Implementing Discrete-time Fractional-order Controllers
Abstract
J. A. Tenreiro Machado
: pp. 286-293
A HiLog Journey from a Classical Dictionary to Hypertext Structure (via the Grammar, of course)
Abstract
Mirko Cubrilo, Alen Lovrencic, and Mirko Malekovic
: pp. 294-299
Human Versus Robotic Shoulder Motion
Abstract
Nives Klopw and Jadran Lenarcic
: pp. 300-305
Results of Bias-variance Tests on Multi-layer Perceptron Neural Networks
Abstract
Wimpie D. Nortje, Johann E. W. Holm, Gerhard P. Hancke, Imre. J. Rudas, and Laszlo. Horvath

No.4

(Jul)

Regular papers

Regular Papers

: pp. 193-200
Rule Extraction from Fuzzy Neural Networks FuNN: A Method and a Real-World Application
Abstract
Nikola Kasabov, Jaesoo Kim, Robert Kozma and Tico Cohen
: pp. 201-212
Multiagent Architecture Combined with a Multicontract Protocol for FMS Control
Abstract
Amar Khoukhi and Adlene Moualek
: pp. 213-219
Applying AHP to Preference Analysis by Dynamic Judgment-A Study of Adaptation and Identification of Odor
Abstract
Yoshihiro Ueda, Naotaka Kato, Haruhiko Kimura, Shinji Furukawa and Takashi Oyabu
: pp. 220-228
Evolving Neurofuzzy System by Hybrid Soft Computing Approaches for System Identification
Abstract
Shigeyasu Kawaji and Yuehui Chen
: pp. 229-238
Evolving Basis Function Networks for System Identification
Abstract
Yuehui Chen and Shigeyasu Kawaji
: pp. 239-245
A Fuzzy CDS-based Scheduling Algorithm for More Than Two Machine Centers
Abstract
Tzung-Pei Hong, Tzu-Ting Wang and Shyue-Liang Wang

No.3

(May)

Selected Papers from IFSA'99

Selected Papers from IFSA'99

: p. 127
Selected Papers from IFSA’99
Jonathan Lee* and Hsiao-Fan Wang**

The past few years we have witnessed a crystallization of soft computing as a means towards the conception and design of intelligent systems. Soft Computing is a synergetic integration of neural networks, fuzzy logic and evolutionary computation including genetic algorithms, chaotic systems, and belief networks. In this volume, we are featuting seven papers devoted to soft computing as a special issue. These papers are selected from papers submitted to the “The eighth International Fuzzy Systems Association World Congress (IFSA’99)”, held in Taipei, Taiwan, in August 1999. Each paper received outstanding recommendations from its reviewers. G-H Tzeng et al. integrate fuzzy numbers, fuzzy regression, and a fuzzy DEA approach as a performance evaluation model for forecasting the productive efficiency of a set of production units when some data are fuzzy numbers. A case of Taipei City Bus Company is adopted for illustration. Y. Shi et al. adopts a fuzzy programming approach to solve a MCMDM (multiple criteria and multiple decision makers) capital budget problem. A solution procedure is proposed to systematically identify a fuzzy optimal selection of possible projects. N. Nguyen et al. propose a new formalism (Chu spaces) to describe parallelism and information flow. Chu spaces provide uniform explanations for different choices of fuzzy methodology, such as choices of fuzzy logical operations of membership functions or defuzzifications. M-C Su et al. propose a technique based on the SOM-based fuzzy systems for voltage security margin estimation. This technique was tested on 1604 simulated data randomly generated from operating conditions on the IEEE 30-bus system to indicate its high efficiency. By defining the concept of approximate dependency and a similarity measure, S-L Wang et al. present a method of using analogical reasoning to infer approximate answers for null queries on similarity-based fuzzy relational databases. K.Yeh et al. use adaptive fuzzy sliding mode control for the structural control of bridges. Combing fuzzy control and sliding mode control can reduce the complexity of fuzzy rule bases and ensure the stability and robustness. This model is demonstrated by three types of bridges, with LRB, sliding isolators and no isolation device. Based on a novel fuzzy clustering algorithm, Y-H Kuo et al. propose an adaptive traffic prediction approach to generalize and unveil the hidden structure of traffic patterns with features of robustness, high accuracy and high adaptability. The periodical, Poisson and real video traffic patterns have been used to verify their approach and investigate its properties. We would like to express our sincere gratitude to everyone who has contributed to this special issue including the authors, the co-reviewers, the JACI Editors-in-Chief Toshio Fukuda and Kaoru Hirota.

: pp. 128-138
Application of Fuzzy Set Theory and DEA Model to Evaluating Production Efficiency for Taipei City Bus Company
Abstract
Gwo-Hshiung Tzeng, Cheng-Min Feng and Chao-Chung Kang
: pp. 139-148
Capital Budgeting with Multiple Criteria and Multiple Decision Makers: A Fuzzy Approach
Abstract
Yong Shi, Wikil Kwak, Heeseok Lee and Cheng-few Lee
: pp. 149-156
Chu Spaces: Towards New Foundations for Fuzzy Logic and Fuzzy Control, with Applications to Information Flow on the World Wide Web
Abstract
Nhu Nguyen, Hung T. Nguyen, Berlin Wu, Vladik Kreinovich
: pp. 157-162
Application of SOM-Based Fuzzy Systems in Voltage Security Margin Estimation
Abstract
Mu-Chun Su, Eugene Lai, Chee-Yuen Tew, Chih-Wen Liu and Chen-Sung Chang
: pp. 163-171
Answering Null Queries by Analogical Reasoning on Similarity-based Fuzzy Relational Databases
Abstract
Shyue-Liang Wang, Tzung-Pei Hong, and Wen-Yang Lin
: pp. 172-179
Application of Adaptive Fuzzy Sliding Mode Control for Bridges
Abstract
Ken Yeh and Wei-Ling Chiang
: pp. 180-188
An Adaptive Fuzzy Clustering Technique for Traffic Prediction of Packet-switched Networks
Abstract
Yau-Hwang Kuo, Mong-Fong Horng and Jung-Hsien Chiang

No.2

(Mar)

Regular papers

Regular Papers

: pp. 81-89
Advanced Robot Control Algorithms Based on Fuzzy, Neural and Genetic Methods
Abstract
Szilveszter Pletl and Bela Lantos
: pp. 90-98
Fast Iterative Solving Method of Various Types of Fuzzy Relational Equations and its Application to Image Reconstruction
Abstract
Hajime Nobuhara, Yasufumi Takama and Kaoru Hirota
: pp. 99-109
Fuzzification of Kolmogorov Theorem
Abstract
Angel López-Gótnez and Kaoru Hirota
: pp. 110-118
Approximate Reasoning for Processing Uncertainty
Abstract
Hamid Seridi and Herman Akdag
: pp. 119-124
Intelligent Consultant
Abstract
James J. Buckley, Thomas Feuring and Yoichi Hayashi

No.1

(Jan)

Selected Papers WISP'99

Selected Papers WISP'99

: p. 1
Selected Papers WISP’99
Annamária R. Várkonyi-Kóczy

Today’s complex industrial and engineering systems – especially with the appearance of large-scale embedded and/or real-time systems – confront researchers and engineers with completely new challenges. Measurement and signal processing systems are involved in almost all kinds of activities in that field where control problems, system identification problems, industrial technologies, etc., are to be solved, i.e., when signals, parameters, or attributes must be measured, monitored, approximated, or determined somehow. In a large number of cases, traditional information processing tools and equipment fail to handle these problems. Not only is the handling of previously unseen spatial and temporal complexity questionable but such problems have also to be addressed such as the interaction and communication of subsystems based on entirely different modeling and information expression methods, the handling of abrupt changes within the environment and/or the processing system, the possible temporal shortage of computational power and/or loss of some data due to the former. Signal processing should even in these cases provide outputs of acceptable quality to continue the operation of the complete system, producing data for qualitative evaluations and supporting decisions. It means the introduction of new ideas for specifying, designing, implementing, and operating sophisticated signal processing systems. Intelligent – artificial intelligence, soft computing, anytime, etc. – methods are serious candidates for handling many theoretical and practical problems, providing a better description, and, in many cases, are the best if not the only alternatives for emphasizing significant aspects of system behavior. These techniques, however, are relatively new methods and up until now, not widely used in the field of signal processing because some of the critical questions related to design and verification are not answered properly and because uncertainty is maintained quite differently than in classical metrology. After the initiation of the 1999 IEEE International Workshop on Intelligent Signal Processing, WISP’99, which was the first event to start linking scientific communities working in the fields of intelligent systems and signal processing and hoping that it will attract more and more scientists and engineers in these hot topics, this special issue continues this pioneering work by offering a selection of nine papers fitting into the profile of the journal from the numerous high quality ones presented at WISP’99. These excellent papers deal with different aspects of advanced computational intelligence in signal processing, including the application of neural networks, fuzzy techniques, genetic and anytime algorithms in modeling, signal processing, noise cancellation, identification, and pattern recognition, multisensorial information fusion and intelligent classification in image processing, exact and nonexact complexity reduction, and nonclassical and mixed data and uncertainty representation and handling. As an editor of this special issue, I would like to express my thanks to all of the contributors and my belief in that the excellent research results it contains provide the basis for further strengthening and spreading of advanced computational intelligence in signal processing opening wide possibilities for new theoretical and practical achievements.

: pp. 2-7
Anytime Evaluation of Regression-Type Algorithms
Abstract
Annamária R. Várkonyi-Kóczy, Tamás Kovácsházy, Orsolya Takács, and Csaba Benedescik
: pp. 8-14
Evolutionary Nonlinear Multimodel Partitioning Filters
Abstract
G. N. Befigiannis, E. N. Demiris and S. D. Likothanassis
: pp. 15-21
Speech Noise Cancellation Based on a Neuro-Fuzzy System: Further Improvements
Abstract
Anna Esposito, Eugene C. Ezin and Carlos A. Reyes-Garcia
: pp. 22-30
Inference Algorithm Independent SVD Fuzzy Rule Base Complexity Reduction
Abstract
Péter Baranyi, Yeung Yamb, Chi Tin Yang, Péter Várlakic, and Pél Michelberger
: pp. 31-36
An Innovative Way to Measure the Quality of a Neural Network Without the Use of a Test Set
Abstract
Giovanni Pilato, Filippo Sorbello and Giorgio Vassallo
: pp. 37-43
Rank-Based Multiple Classifier Decision Combination: A Theoretical Study
Abstract
Afsar Saranli and Mubeccel Demirekler
: pp. 44-50
Information Processing Based on Mixed – Classical and Fuzzy – Data Models
Abstract
Orsolya Takács and Annamária R. Várkonyi-Kóczy