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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

Journal Impact Factor: 0.7 (2022)

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.10 (2006)

No.6

(Nov)

Special Issue on Language-Based Human Intelligence and Personalization

Special Issue on Language-Based Human Intelligence and Personalization

Editorial: 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 sof...<more>
Review: pp. 773-781
Everyday-Language Computing Project Overview
Abstract
Ichiro Kobayashi, Michio Sugeno, Toru Sugimoto, Shino Iwashita, Noriko Ito, Michiaki Iwazume, and Yusuke Takahashi
Paper: 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
Paper: pp. 791-801
Systemic-Functional Context-Sensitive Text Generation in the Framework of Everyday Language Computing
Abstract
Yusuke Takahashi and Ichiro Kobayashi
Paper: pp. 802-810
Natural Language-Mediated Software Agentification
Abstract
Michiaki Iwazume, Ichiro Kobayashi, and Michio Sugeno
Paper: 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
Paper: pp. 821-829
Programming in Everyday Language: A Case for Email Management
Abstract
Toru Sugimoto, Noriko Ito, Shino Iwashita, and Michio Sugeno
Paper: pp. 830-837
Application of Paraphrasing to Programming with Linguistic Expressions
Abstract
Nozomu Kaneko and Takehisa Onisawa
Paper: pp. 838-849
A Human Interface Based on Linguistic Metaphor and Intention Reasoning
Abstract
Koichi Yamada, Mutsumi Tamai, and Muneyuki Unehara
Paper: pp. 850-858
Automatic Metadata Annotation Based on User Preference Evaluation Patterns
Abstract
Mari Saito
Paper: pp. 859-867
Dynamic Sense Representation Using Conceptual Fuzzy Sets
Abstract
Hiroshi Sekiya, Takeshi Kondo, Makoto Hashimoto, and Tomohiro Takagi
Paper: pp. 868-875
Common Sense from the Web? Naturalness of Everyday Knowledge Retrieved from WWW
Abstract
Rafal Rzepka, Yali Ge, and Kenji Araki
Paper: 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
Paper: pp. 913-920
A Histogram Modification Approach for Analysis of Membership Function Relocation in Fuzzy Logic Control
Abstract
Jia Lu and Yunxia Hu
Paper: 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
Paper: pp. 931-938
An Efficient Specification for System Verification
Abstract
Chikatoshi Yamada, Yasunori Nagata, and Zensho Nakao
Paper: pp. 939-945
Toward a Generalization of Rough Sets Based on Active and Passive Relations
Abstract
Masashi Emoto, Rolly Intan, and Masao Mukaidono
Paper: pp. 946-953
New Similarity Measure Between Two Fuzzy Sets
Abstract
Hassan Rezaei, Masashi Emoto, and Masao Mukaidono
Paper: 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

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

Editorial: 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...<more>
Paper: 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
Paper: pp. 713-720
Optimizing Web Services Performance Using Cache
Abstract
Julio Fernández Vilas, Jose J. Pazos Arias, and Ana Fernández Vilas
Paper: pp. 721-727
An Efficient Authorization Mechanism for Secure XML Sources on the Web
Abstract
Sun-Moon Jo and Weon-Hee Yoo
Paper: pp. 728-732
Automatic Web Service Composition Based on Behavior Network
Abstract
Myung-Chul Jung and Sung-Bae Cho
Paper: pp. 733-737
Efficient Merging for Heterogeneous Domain Ontologies Based on WordNet
Abstract
Hyunjang Kong, Myunggwon Hwang, and Pankoo Kim
Paper: pp. 738-743
Efficient Processing of XML Tree Pattern Queries
Abstract
Yangjun Chen and Dunren Che
Paper: pp. 744-751
Minimization of XML Tree Pattern Queries in the Presence of Integrity Constraints
Abstract
Yangjun Chen and Dunren Che
Paper: 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

Paper: 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)

Editorial: 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.
Paper: 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
Paper: pp. 451-457
Dual Scaling in Data Mining from Text Databases
Abstract
Junzo Watada, Keisuke Aoki, Masahiro Kawano, and Muhammad Suzuri Hitam
Paper: 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
Paper: pp. 465-471
Extending Fuzzy Constraint Satisfaction Problems
Abstract
Yasuhiro Sudo, Masahito Kurihara, and Tamotsu Mitamura
Paper: 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

Editorial: 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...<more>
Paper: pp. 479-485
An Approach to Collaborative Scheduling Through Group Decision Support
Abstract
Ana Almeida, and Goreti Marreiros
Paper: 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
Paper: pp. 494-497
Max-Product Shepard Approximation Operators
Abstract
Barnabás Bede, Hajime Nobuhara, János Fodor, and Kaoru Hirota
Paper: 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
Paper: pp. 504-509
Implementation of Course Model Driven Virtual Classroom in Higher Education
Abstract
József Gáti, and Gyula Kártyás
Paper: pp. 510-516
Intelligent Human-Computer Communication of Engineers at Extended Companies
Abstract
László Horváth, and Imre J. Rudas
Paper: pp. 517-521
Incorporating Infatuation in Multi-Agent Systems
Abstract
Mirko Maleković, and Mirko Čubrilo
Paper: pp. 522-526
Two-Dimensional Copulas as Important Binary Aggregation Operators
Abstract
Endre Pap, and Marta Takács
Paper: pp. 527-533
Cognitive Vision Inspired Contour and Vertex Detection
Abstract
Barna Reskó, Ádám B. Csapó, and Péter Baranyi
Paper: pp. 534-541
g-Calculus-Based Compositional Rule of Inference
Abstract
Marta Takács
Paper: 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
Paper: pp. 549-554
Fuzzy Based Brightness Compensation for High Dynamic Range Images
Abstract
Annamária R. Várkonyi-Kóczy, András Rövid, and Péter Várlaki

Regular Papers

Paper: 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
Paper: pp. 567-577
Feed-Forward Neural Networks Based on the Eigenstates of the Quantum Harmonic Oscillator
Abstract
Gerasimos Rigatos
Paper: pp. 578-585
Opposition-Based Reinforcement Learning
Abstract
Hamid R. Tizhoosh
Paper: pp. 586-593
Approximate Reasoning in Supervised Classification Systems
Abstract
Hamid Seridi, Herman Akdag, Rachid Mansouri, and Mohamed Nemissi
Paper: 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

Editorial: 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 additi...<more>
Paper: pp. 245-259
Formalization of the Equivalent Transformation Computation Model
Abstract
Kiyoshi Akama, and Ekawit Nantajeewarawat
Paper: 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
Paper: pp. 265-269
A Framework for Robust and Resilient Critical Infrastructure Systems
Abstract
Jagdish Chandra
Paper: pp. 270-280
Semantic Query Optimization: Correctness and Control
Abstract
Pongtawat Chippimolchai, Kiyoshi Akama, and Vilas Wuwongse
Paper: pp. 281-286
Machine Vision System for Automatic Inspection of Surface Defects in Aluminum Die Casting
Abstract
Yakov Frayman, Hong Zheng, and Saeid Nahavandi
Paper: pp. 287-294
Discovering Both Positive and Negative Fuzzy Association Rules in Large Transaction Databases
Abstract
Jianchao Han, and Mohsen Beheshti
Paper: pp. 295-301
Knowledge Extraction from a Mixed Transfer Function Artificial Neural Network
Abstract
M. Imad Khan, Yakov Frayman, and Saeid Nahavandi
Paper: 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
Paper: 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
Paper: pp. 323-331
Fast Placement Algorithm for Rectilinear Jigsaw Puzzles
Abstract
Yasuyuki Murai, Hiroyuki Tsuji, Hisayuki Tatsumi, and Shinji Tokumasu
Paper: 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
Paper: pp. 339-348
Converting Constraint Handling Rules to Equivalent Transformation Rules
Abstract
Yoshinori Shigeta, Kiyoshi Akama, Hiroshi Mabuchi, and Hidekatsu Koike
Paper: 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
Paper: pp. 362-371
Extracting Objects Using Contour Evolutions in Edge-Based Object Tracking
Abstract
Hiroyuki Tsuji, Shinji Tokumasu, Hiroki Takahashi, and Masayuki Nakajima
Paper: pp. 372-383
Towards a Model of Computer Science Graduate Admissions Decisions
Abstract
Nigel Ward
Paper: 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
Paper: pp. 395-408
Incremental Learning, Recognition, and Generation of Time-Series Patterns Based on Self-Organizing Segmentation
Abstract
Shogo Okada, and Osamu Hasegawa
Paper: pp. 409-418
An Efficient Algorithm for Traffic Sign Detection
Abstract
Aryuanto Soetedjo, and Koichi Yamada
Paper: pp. 419-431
Generic Database for Hybrid Bayesian Pattern Recognition
Abstract
Kiril I. Tenekedjiev, Carlos A. Kobashikawa, Natalia D. Nikolova, and Kaoru Hirota
Paper: 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

Editorial: 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. Experiment...<more>
Paper: pp. 136-144
Designing Image Retrieval System with the Concept of Visual Keys
Abstract
Manabu Serata, Yutaka Hatakeyama, and Kaoru Hirota
Paper: 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
Paper: pp. 150-154
Novel Approach to Determining Camera Motion Parameters
Abstract
Ken-ichi Sakina
Paper: 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
Paper: pp. 161-167
Multi-Agent Based Control of a Heterogeneous System
Abstract
Howard Li, Fakhreddine Karray, Otman Basir, and Insop Song
Paper: pp. 168-172
An Inference Algorithm for Electronic System Diagnostics at the Block Diagram Level
Abstract
Celso Bation Co
Paper: pp. 173-180
Building Intelligent Robotics Systems with Distributed Components
Abstract
Federico Guedea-Elizalde, Rogelio Soto, Fakhreddine Karray, and Insop Song
Paper: 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
Paper: 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
Paper: pp. 196-200
Preparation of Cation Exchanger Using Electrospun Polystyrene Nanofiber
Abstract
Hyung-Hwan An, and Changyun Shin
Paper: 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

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

No.1

(Jan)

Regular papers

Regular Papers

Paper: pp. 3-10
Switching Model Construction and Stability Analysis for Nonlinear Systems
Abstract
Hiroshi Ohtake, and Kazuo Tanaka
Paper: pp. 11-16
Voting-Based Approach to Nullspace Search for Correspondence Matching and Shape Recovery
Abstract
Kazuhiko Kawamoto, Atsushi Imiya, and Kaoru Hirota
Paper: pp. 17-25
A Hybrid Neuro-Symbolic Approach for Arabic Handwritten Word Recognition
Abstract
Labiba Souici-Meslati, and Mokhtar Sellami
Paper: pp. 26-34
Fuzzy Configuration Space for Moving Obstacle Avoidance of Autonomous Mobile Robots
Abstract
Jorge Guerra, Hajime Nobuhara, and Kaoru Hirota
Paper: pp. 35-49
Genetically Optimized Multi-Layer Fuzzy Polynomial Neural Networks: Analysis and Design
Abstract
Sung-Kwun Oh, Witold Pedrycz, and Ho-Sung Park
Paper: 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
Paper: pp. 60-68
Velocity Control Strategy for a Spider-Robot Based on Autonomous Walking Form Transition
Abstract
Takeo Ohnishi, and Toshiyuki Asakura
Paper: 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
Paper: pp. 77-83
Experimentally Constructing Semantic Models Based on DNA Computing
Abstract
Yusei Tsuboi, Zuwairie Ibrahim, and Osamu Ono
Paper: pp. 84-92
FCAPS: Fuzzy Controller with Approximated Policy Search Approach
Abstract
Agus Naba, and Kazuo Miyashita
Paper: pp. 93-101
Robust Face Detection for Low-Resolution Images
Abstract
Shinji Hayashi, and Osamu Hasegawa
Paper: pp. 102-111
Genetic Network Programming with Acquisition Mechanisms of Association Rules
Abstract
Kaoru Shimada, Kotaro Hirasawa, and Jinglu Hu
Paper: pp. 112-120
Dedicated Floorplanning Engine Architecture Based on Genetic Algorithm and Evaluation
Abstract
Masaya Yoshikawa, and Hidekazu Terai
Paper: 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

Editorial: 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.
Paper: pp. 580-589
Improved MLP Learning via Orthogonal Bipolar Target Vectors
Abstract
Shigueo Nomura, Keiji Yamanaka, Osamu Katai, Hiroshi Kawakami, and Takayuki Shiose
Paper: pp. 590-598
Competitive Learning with Fast Neuron-Insertion
Abstract
Noritaka Shigei, Hiromi Miyajima, and Michiharu Maeda
Paper: pp. 599-606
Adaptive Vector Quantization with Creation and Reduction Grounded in the Equinumber Principle
Abstract
Michiharu Maeda,Noritaka Shigei, and Hiromi Miyajima
Paper: 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
Paper: pp. 615-621
Improved Debt Rating Model Using Choquet Integral
Abstract
Toshihiro Kaino, Ken Urata, Shinichi Yoshida, and Kaoru Hirota
Paper: 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
Paper: 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
Paper: pp. 637-642
An Interactive System with Facial Expression Recognition
Abstract
Yuyi Shang, Mie Sato, and Masao Kasuga
Paper: 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
Paper: pp. 654-660
Visual Perception for a Partner Robot Based on Computational Intelligence
Abstract
Indra Adji Sulistijono, and Naoyuki Kubota
Paper: pp. 661-668
Lattice Structure of D, T, and SR Fuzzy Flip-Flops Under Max-Min Logic
Abstract
Shinichi Yoshida, and Kaoru Hirota
Paper: pp. 669-676
Robust Tuning of PID Controller Using Bacterial-Foraging-Based Optimization
Abstract
Dong Hwa Kim, and Jae Hoon Cho
Paper: pp. 677-683
Knowledge Representation of Architectural Design by Using IBIS-FRS System
Abstract
Marly Kiatake, Liang-Yee Cheng, and João R. D. Petreche
Paper: 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
Paper: pp. 693-697
Machine Learning: Automated Knowledge Acquisition Based on Unsupervised Neural Network and Expert System Paradigms
Abstract
Nazar Elfadil
Paper: 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

Editorial: 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 pref...<more>
Paper: 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
Paper: pp. 453-460
Statistical Image Analysis of Psychological Projective Drawings
Abstract
Kazuhisa Takemura, Iyuki Takasaki, and Yumi Iwamitsu
Paper: pp. 461-466
Fuzzy Least Squares Regression Analysis for Social Judgment Study
Abstract
Kazuhisa Takemura
Paper: pp. 467-476
Identification of Fuzzy Measures with Distorted Probability Measures
Abstract
Aoi Honda, and Yoshiaki Okazaki
Paper: pp. 477-483
Semiatoms in Choquet Integral Models of Multiattribute Decision Making
Abstract
Toshiaki Murofushi
Paper: 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

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

Regular Papers

Paper: pp. 563-569
Traces of Fuzzy Relations Under Dual Operations
Abstract
Hiroshi Hashimoto
Paper: 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

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

Editorial: 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...<more>
Paper: pp. 226-234
Improved ANN Based Tap-Changer Controller Using Modified Cascade-Correlation Algorithm
Abstract
M. Fakhrul Islam, Joarder Kamruzzaman, and Guojun Lu
Paper: pp. 235-243
Saliency-Driven Scene Learning and Recognition Based on Competitively Growing Neural Network Using Temporal Coding
Abstract
Masayasu Atsumi
Paper: 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
Paper: 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
Paper: pp. 268-276
Intelligent Control of Autonomous Soccer Robots Compensating for Missing Information
Abstract
Hikari Fujii, Nobuyuki Kurihara, and Kazuo Yoshida
Paper: 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
Paper: pp. 282-289
Constrained Optimization by the α Constrained Particle Swarm Optimizer
Abstract
Tetsuyuki Takahama, and Setsuko Sakai
Paper: pp. 290-296
Recognizing Odor Mixtures Using Optimized Fuzzy Neural Network Through Genetic Algorithms
Abstract
Benyamin Kusumoputro, and Teguh P. Arsyad
Paper: 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
Paper: pp. 304-313
A New Electronic Dictionary with Meaning Description of Case Frame
Abstract
Kouhei Shimizu, and Masafumi Hagiwara
Paper: pp. 314-320
Applying Multi-Agent Algorithm to a Class Scheduling System
Abstract
Eiji Nunohiro, and Kenneth J. Mackin
Paper: pp. 321-328
Inductive Temporal Formula Specifications for System Verification
Abstract
Chikatoshi Yamada, Yasunori Nagata, and Zensho Nakao
Paper: pp. 329-336
Dynamic Mode Choice of Commuters in an Agent-Based Simulation Model with Inductive Learning Machines
Abstract
Yos Sunitiyoso, and Shoji Matsumoto
Paper: 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

Editorial: 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.
Paper: pp. 92-99
Cascaded Fuzzy Congestion Controller for TCP/IP Traffic
Abstract
Tapio Frantti
Paper: 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
Paper: pp. 106-113
Distributed Route Guidance Systems with Self-Organized Multi-Layered Vector Fields
Abstract
Kosuke Sekiyama, and Yasuhiro Ohashi
Paper: pp. 114-120
Taxonomy of Atomic Actions for Home-Service Robots
Abstract
Hyunseok Kim, Yuchul Jung, and Yong K. Hwang
Paper: pp. 121-126
Using Attenuation Coefficient Generating Function in Parallel Execution of Neural Networks for Solving SAT
Abstract
Kairong Zhang, and Masahiro Nagamatu
Paper: 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
Paper: pp. 134-141
Forecasting Electric Load by Support Vector Machines with Genetic Algorithms
Abstract
Ping-Feng Pai, Wei-Chiang Hong, and Chih-Shen Lin
Paper: pp. 142-149
Simulation of Developmental Process of Organism and Application to Structural Design
Abstract
Masato Inoue, and Yoshiyuki Matsuoka
Paper: pp. 150-158
Evolutionary Pose Measurement by Stereo Model Matching
Abstract
Wei Song, Yasushi Mae, and Mamoru Minami
Paper: pp. 159-165
Analysis and Simulation of Group Behavior Using a Dynamic Sphere of Influence
Abstract
Tsuyoshi Taki, and Junichi Hasegawa
Paper: pp. 166-174
A Competitive Learning Algorithm with Controlling Maximum Distortion
Abstract
Takeshi Miura, Kentaro Sano, Kenichi Suzuki, and Tadao Nakamura
Paper: pp. 175-180
Fingerprint Matching Algorithm Using String-Based MHC Detector Set
Abstract
Jae-Won Jeong, In-Hoon Jang, and Kwee-Bo Sim
Paper: 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
Paper: pp. 196-202
A Proposal of Fuzzy Modeling on Fusion Axes
Abstract
Kosuke Yamamoto, Tomohiro Yoshikawa, and Takeshi Furuhashi
Paper: pp. 203-210
Strategy Acquisition for Games Based on Simplified Reinforcement Learning Using a Strategy Network
Abstract
Masaaki Kanakubo, and Masafumi Hagiwara
Paper: 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

Editorial: 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 pap...<more>
Paper: pp. 5-12
Combining Local and Global Access to Ontologies in a Multiagent System
Abstract
Ramon Brena, and Hector G. Ceballos
Paper: pp. 13-17
Fuzzy Querying of Evolutive Situations: Application to Driving Situations
Abstract
Sabiha Ould Yahia, and Sophie Loriette-Rougegrez
Paper: pp. 18-22
Remembering What You Forget in an Online Shopping Context
Abstract
Martin Halvey, and Mark T. Keane
Paper: 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
Paper: pp. 31-38
Dynamic Visualization of Information: From Database to Dataspace
Abstract
Claude St-Jacques, and Louis-Claude Paquin
Paper: pp. 39-45
Towards Context-Aware Knowledge Management in e-Enterprises
Abstract
Weihong Huang
Paper: pp. 46-52
Block-Based Change Detection in the Presence of Ambient Illumination Variations
Abstract
Theodoros Alexandropoulos, Vassili Loumos, and Eleftherios Kayafas
Paper: pp. 53-60
Combining Argumentation and Web Search Technology: Towards a Qualitative Approach for Ranking Results
Abstract
Carlos Iván Chesñevar, and Ana Gabriela Maguitman
Paper: pp. 61-64
Modified Axiomatic Basis of Subjective Probability
Abstract
Kiril Tenekedjiev, Anastas Krushev, and Natalia Nikolova
Paper: pp. 65-69
Fuzzy Rationality in Quantitative Decision Analysis
Abstract
Natalia Nikolova, Aleksei Shulus, Daniela Toneva, and Kiril Tenekedjiev
Paper: 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
Paper: 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

Editorial: 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.
Paper: pp. 566-572
Application of Kernel Trick to Fuzzy c-Means with Regularization by K-L Information
Abstract
Hidetomo Ichihashi, and Katsuhiro Honda
Paper: 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
Paper: pp. 582-590
Accelerated Genetic Programming for Intelligent Fuzzy Robots
Abstract
Yasuyuki Murai, Koki Matsumura, Hisayuki Tatsumi, Hiroyuki Tsuji, and Shinji Tokumasu
Paper: pp. 591-598
Weighted Similarity Classifier Using Differential Evolution and Genetic Algorithm in Weight Optimization
Abstract
Pasi Luukka, and Jouni Sampo
Paper: pp. 599-605
Comparison of Linguistic and Regular Hard C-Means in Postoperative Patient Data
Abstract
Sansanee Auephanwiriyakul, and Nipon Theera-Umpon
Paper: pp. 606-612
Leeway Prediction of Oceanic Disastrous Target via Support Vector Regression
Abstract
Nipon Theera-Umpon, and Udomsak Boonprasert
Paper: 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
Paper: 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
Paper: 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
Paper: pp. 633-638
Hierarchical Concept Structures Based Data Retrieval/Mining by Fuzzy Document Ordering System
Abstract
Tadashi Ohashi, Hajime Nobuhara, and Kaoru Hirota
Paper: 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

Editorial: 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.
Paper: pp. 454-459
Concept-Based Interactive Brainstorming in Engineering Design
Abstract
Gideon Avigad, Amiram Moshaiov, and Neima Brauner
Paper: pp. 460-468
Translated Multiplicative Neuron: An Extended Multiplicative Neuron that can Translate Decision Surfaces
Abstract
Eduardo Masato Iyoda, Hajime Nobuhara, and Kaoru Hirota
Paper: pp. 469-476
Motion-Based Template Matching for Obstacle Detection
Abstract
Kazuhiko Kawamoto, Naoya Ohnishi, Atsushi Imiya, Reinhard Klette, and Kaoru Hirota
Paper: pp. 477-481
Learning from Examples and Comparing Models of Human Motion
Abstract
Marek Kulbacki, Bartosz Jablonski, Ryszard Klempous, and Jakub Segen
Paper: pp. 482-487
Microstatistic Multi-User Detection Receiver
Abstract
Dusan Kocur, Jana Cízová, and Stanislav Marchevský
Paper: pp. 488-494
Anytime System Scheduler for Insufficient Resource Availability
Abstract
Annamária R. Várkonyi-Kóczy, and Gábor Samu
Paper: pp. 495-498
Energy-Conservative Algorithm for the Numerical Solution of Initial-Value Hamiltonian System Problems
Abstract
Edit Miletics
Paper: pp. 499-506
Development of Fuzzy Controllers with Dynamics Regarding Stability Conditions and Sensitivity Analysis
Abstract
Radu-Emil Precup, Stefan Preitl, and Péter Korondi
Paper: pp. 507-513
Evolutionary Design of Combinational Logic Circuits
Abstract
Cecília Reis, J. A. Tenreiro Machado, and J. Boaventura Cunha
Paper: 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
Paper: pp. 523-529
A Test Model for Hardware and Software Systems
Abstract
József Sziray
Paper: 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
Paper: pp. 535-543
Kalman-Filter Based Control and Performance Monitoring Systems
Abstract
Attila L. Bencsik
Paper: pp. 544-552
Possibilities for Application of Associative Objects with Built-in Intelligence in Engineering Modeling
Abstract
László Horváth, and Imre J. Rudas
Paper: 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

Editorial: 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.
Paper: pp. 350-355
Intelligent Soft Driving System for a Four-Wheeled Electric Vehicle Eluding Dynamic Obstacles
Abstract
Masaki Inoue, and Seiji Yasunobu
Paper: pp. 356-361
Co-Evolution of Fuzzy Controller for the Mobile Robot Control
Abstract
Kwang-Sub Byun, Chang-Hyun Park, and Kwee-Bo Sim
Paper: pp. 362-368
Fuzzy Descriptor System Modeling and Control of Lagrange Dynamics with Regional Pole-Placement Constraint
Abstract
Jin-Shig Kang
Paper: pp. 369-372
Design and Analysis of Probe Detection Systems for TCP Networks
Abstract
Se-Yul Lee, and Yong-Soo Kim
Paper: 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
Paper: 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
Paper: pp. 385-389
Recognition of Car License Plates Using Morphological Information and SOM Algorithm
Abstract
Kwang-Baek Kim, and Dae-Su Kim
Paper: pp. 390-396
Intelligent Logo Watermarking Based on Independent Component Analysis
Abstract
Thai Duy Hien, Zensho Nakao, and Yen-Wei Chen
Paper: pp. 397-402
Simultaneous Application of Fuzzy Clustering and Quantification with Incomplete Categorical Data
Abstract
Katsuhiro Honda, Yoshihito Nakamura, and Hidetomo Ichihashi
Paper: 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
Paper: pp. 410-414
Expert-Knowledge Gating Mechanism in the Hierarchical Modular System
Abstract
Jeong-Yon Shim
Paper: pp. 415-420
A Study on Supplier Evaluation and Selection Method Based on Dependence
Abstract
Jong-Moon Ju, and Seung-Gook Hwang
Paper: 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
Paper: 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
Paper: 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
Paper: pp. 437-441
Reliability Optimization Problems Using Adaptive Hybrid Genetic Algorithms
Abstract
Minoru Mukuda, YoungSu Yun, and Mitsuo Gen
Paper: 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

Editorial: 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 versa...<more>
Paper: pp. 237-242
Planar Spline Trajectory Following for an Autonomous Helicopter
Abstract
Kale Harbick, James F. Montgomery, and Gaurav S. Sukhatme
Paper: 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
Paper: pp. 252-259
Composite Fuzzy Measure and its Application to Decision-Making
Abstract
Toshihiro Kaino, and Kaoru Hirota
Paper: pp. 260-268
Intelligent Control of a Miniature Climbing Robot
Abstract
Jizhong Xiao, Jun Xiao, and Ning Xi
Paper: pp. 269-274
Incorporating Motivation in a Hybrid Robot Architecture
Abstract
Alexander Stoytchev, and Ronald C. Arkin
Paper: pp. 275-283
Intelligent Scaling Control for Internet-Based Teleoperation
Abstract
Peter Xiaoping Liu, Max Q-H Meng, and Jason J. Gu
Paper: pp. 284-294
Feature Extraction of Robot Sensor Data Using Factor Analysis for Behavior Learning
Abstract
Wai-keung Fung, and Yun-hui Liu
Paper: pp. 295-301
Trajectory Planning of Mobile Robots Using DNA Computing
Abstract
Kazuo Kiguchi, Keigo Watanabe, and Toshio Fukuda
Paper: pp. 302-312
Computational Intelligence for Modeling Human Sensations in Virtual Environments
Abstract
Ka Keung Lee, and Yangsheng Xu
Paper: pp. 313-323
Intelligent Sensor Fusion in Robotic Prosthetic Eye System
Abstract
Jason J. Gu, Max Meng, Albert Cook, and Peter Xiaoping Liu
Paper: 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
Paper: pp. 332-335
Novel Approach to Decision-Tree Construction
Abstract
Wei Jin-Mao, Wang Shu-Qin, and Wang Ming-Yang
Paper: 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

Editorial: 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.
Paper: pp. 84-92
Support Vector Machine and Generalization
Abstract
Takio Kurita
Review: pp. 93-99
Bayesian Network: Probabilistic Reasoning, Statistical Learning, and Applications
Abstract
Yoichi Motomura
Paper: pp. 100-107
Operation of Spatiotemporal Patterns Stored in Living Neuronal Networks Cultured on a Microelectrode Array
Abstract
Suguru N. Kudoh, and Takahisa Taguchi
Paper: pp. 108-114
Rapid Discriminative Learning
Abstract
Jun Rokui
Paper: pp. 115-120
Robust Fuzzy Clustering Based on Similarity between Data
Abstract
Kohei Inoue, and Kiichi Urahama
Paper: pp. 121-129
A Growing Neural Network for Online Unsupervised Learning
Abstract
Shen Furao, and Osamu Hasegawa
Paper: pp. 130-139
A View-Invariant Face Detection Method Based on Local PCA Cells
Abstract
Kazuhiro Hotta
Paper: 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
Paper: pp. 150-155
Human Limb Extraction Based on Motion Estimation Using Optical Flow and Image Registration
Abstract
Toru Tamaki
Paper: 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
Paper: pp. 168-180
Extraction of Motion Characteristics Corresponding to Sensitivity Information Using Dance Movement
Abstract
Shihoko Kamisato, Satoru Odo, Yoshino Ishikawa, and Kiyoshi Hoshino
Paper: 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
Paper: 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
Paper: pp. 200-207
Printed Japanese Character Recognition Using Multiple Commercial OCRs
Abstract
Hidetoshi Miyao, Yasuaki Nakano, Atsuhiko Tani, Hirosato Tabaru, and Toshihiro Hananoi
Paper: pp. 208-215
Stave Extraction for Printed Music Scores Using DP Matching
Abstract
Hidetoshi Miyao, and Masayuki Okamoto
Paper: 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
Paper: 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)

Editorial: 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.
Paper: pp. 2-6
A New Way of Discovery of Belief, Desire and Intention in the BDI Agent-Based Software Modeling
Abstract
Chang-Hyun Jo
Paper: pp. 7-13
Integration of Distributed Robotic Systems
Abstract
Fakhri Karray, Rogelio Soto, Federico Guedea, and Insop Song
Paper: 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
Development Report: 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
Paper: pp. 29-38
Dynamic Color Object Recognition Using Fuzzy Logic
Abstract
Napoleon H. Reyes and Elmer P. Dadios
Paper: pp. 39-44
An Optical Coordinate Measuring Machine for Nanoscale Dimensional Metrology
Abstract
Eric Kirkland, Thomas R. Kurfess, and Steven Y. Liang
Paper: 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
Paper: pp. 56-64
Generalized Associative Memory Models: Their Memory Capacities and Potential Application
Abstract
Teddy N. Yap, Jr. and Arnulfo P. Azcarraga
Paper: pp. 65-71
Hybrid Fuzzy Logic Strategy for Soccer Robot Game
Abstract
Elmer A. Maravillas, Napoleon H. Reyes, and Elmer P. Dadios
Paper: 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

Editorial: 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.
Paper: pp. 252-259
Some Preliminary Results on the Stableness of Extended F-rule Systems
Abstract
Nguyen Thanh Thuy, Phan Duong Hieu, and Takahiro Yamanoi
Paper: pp. 260-267
How to Make Programs from Problem Descriptions in the Equivalent Transformation Paradigm
Abstract
Takahiko Ishikawa, Kiyoshi Akama, and Hiroshi Mabuchi
Paper: 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
Paper: pp. 276-282
Analysis of a Method Improving Reinforcement Learning Agents’ Policies
Abstract
Daisuke Kitakoshi, Hiroyuki Shioya, and Masahito Kurihara
Paper: pp. 283-288
A Recursively Axiomatizable Subsystem of Levesque’s Logic of Only Knowing
Abstract
Ho Ngoc Duc
Paper: pp. 289-293
Real Time Adaptive Color Segmentation for Mars Landing Site Identification
Abstract
Tuan A. Duong and Vu A. Duong
Paper: pp. 294-305
The Fuzzy Description Logic ALCFH with Hedge Algebras as Concept Modifiers
Abstract
Steffen Hölldobler, Hans-Peter Störr, and Tran Dinh Khang
Paper: pp. 306-314
Integration of Syntactic Analysis and Semantic Interpretation Based on Equivalent Transformation
Abstract
Hiroshi Mabuchi, Kiyoshi Akama, Takahiko Ishikawa, and Hidekatsu Koike
Paper: pp. 315-321
Reordering Adaptive Directed Acyclic Graphs for Multiclass Support Vector Machines
Abstract
Thimaporn Phetkaew, Wanchai Rivepiboon, and Boonserm Kijsirikul
Paper: pp. 322-329
Hybrid Probabilistic Models of Fuzzy and Rough Events
Abstract
Rolly Intan, Masao Mukaidono, and Hung T. Nguyen
Paper: pp. 330-338
Intelligent Control of Nonlinear Dynamic Systems Using Immune Fuzzy Fusion
Abstract
Dong Hwa Kim
Paper: pp. 339-347
Fuzzy Modeling for Modifying Standard Prescriptions of Oriental Traditional Medicine
Abstract
Nguyen Hoang Phuong, Pratit Santiprabhob, and Kaoru Hirota
Paper: pp. 348-354
Temporal Abstraction for Long-Term Test Changes in the Hepatitis Domain
Abstract
Saori Kawasaki, Trong Dung Nguyen, and Tu Bao Ho
Paper: 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
Paper: 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
Paper: pp. 370-376
Phase Transitions in Fuzzy Clustering Based on Fuzzy Entropy
Abstract
Makoto Yasuda, Takeshi Furuhashi, and Shigeru Okuma
Paper: 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

Editorial: 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 la...<more>
Paper: pp. 72-78
Modifier Logics Based on Graded Modalities
Abstract
Jorma K. Mattila
Paper: pp. 79-85
Cardinal-Probabilistic Interaction Indices and their Applications: A Survey
Abstract
Katsushige Fujimoto
Paper: pp. 86-91
Adaptive Fuzzy Control for a SISO Nonlinear System
Abstract
Hugang Han, and Shuta Murakami
Paper: pp. 92-100
Adaptive Fuzzy Control of One Linear Actuator Hopping Robot
Abstract
Son Kuswadi, Mitsuji Sampei, and Shigeki Nakaura
Paper: pp. 101-107
Response Control of Variable Stiffness Structure Using Electromagnetic Clutch
Abstract
Toshihiro Irie, Kiyoshi Shingu, Keita Kitamura, and Yoshihiro Takagi
Paper: pp. 108-114
A Study on a Foraging Behavior of Interacting Simple Robots
Abstract
Ken Sugawara, Masaki Sano, and Toshinori Watanabe
Paper: pp. 115-123
Obstacle Avoidance for Quadruped Robots Using a Neural Network
Abstract
Tomohiro Yamaguchi, Keigo Watanabe, Kiyotaka Izumi, and Kazuo Kiguchi
Paper: pp. 124-129
Automatic Generation of Expressive Body Movement Based on Cohen-kestenberg Lifelike Motion Stereotypes
Abstract
Toru Nakata
Paper: 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
Paper: pp. 139-146
A Powerful Neural Network Method with Digital-contract Hints for Pricing Complex Options
Abstract
Jun Lu, and Hiroshi Ohta
Paper: pp. 147-152
Electricity Demand and Price Analysis in California Using Possibility Regression Model
Abstract
Osamu Hirano, Masayasu Kanke, and Kazuhiro Ozawa
Paper: pp. 153-159
Fuzzy Microaggregation for Microdata Protection
Abstract
Josep Domingo-Ferrer, and Vicenç Torra
Paper: pp. 160-168
Fuzzy Information Granules: a Compact, Transparent and Efficient Representation
Abstract
Giovanna Castellano, Anna Maria Fanelli, and Corrado Mencar
Paper: pp. 169-177
An Indiscernibility-Based Clustering Method with Iterative Refinement of Equivalence Relations -Rough Clustering-
Abstract
Shoji Hirano and Shusaku Tsumoto
Paper: pp. 178-188
Synergetic Stereo Matching Algorithm for Occlusion and Reversal Position
Abstract
Tohru Irie, Hiroshi Maeda, and Norikazu Ikoma
Paper: 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
Paper: 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
Paper: pp. 207-214
Fuzzy Traffic Controller in Ramp Metering of Urban Expressway
Abstract
Masashi Okushima, Yoshiharu Takihi, and Takamasa Akiyama
Paper: 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
Paper: 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
Paper: pp. 229-234
Properties of Interval Truth Values with Certainty Factor
Abstract
Masashi Emoto and Masao Mukaidono
Paper: 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

Editorial: 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 applicatio...<more>
Paper: pp. 2-5
Query Expansion Using Conceptual Fuzzy Sets for Search Engines
Abstract
Masanori Tajima, Takayuki Kawabata, Tomoe Tomiyama, and Tomohiro Takagi
Paper: pp. 6-9
Effective Use of Learning Knowledge by FEERL
Abstract
Yukinobu Hoshino and Katsuari Kamei
Paper: pp. 10-18
Acquisition of Knowledge for Gymnastic Bar Action by Active Learning Method
Abstract
Yoshitaka Sakurai, Nakaji Honda, and Junji Nishino
Paper: pp. 19-24
Algorithms of Hard c-Means Clustering Using Kernel Functions in Support Vector Machines
Abstract
Sadaaki Miyamoto and Youichi Nakayama
Paper: pp. 25-30
Fuzzy c-Means Clustering Using Kernel Functions in Support Vector Machines
Abstract
Sadaaki Miyamoto and Daisuke Suizu
Paper: 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
Paper: pp. 40-46
An Agent System Using Basic Emotions as Communication Method
Abstract
Yosuke Dendo and Katsuari Kamei
Paper: pp. 47-52
Fuzzy Three-valued Switching Functions Using Choquet Integral
Abstract
Eiichiro Takahagi
Paper: 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

Paper: 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
Paper: pp. 109-114
State Feedback Stabilization in Nonlinear Time-Delay Systems
Abstract
Tsuyoshi Hori and Kazuo Tanaka
Paper: pp. 116-125
A Method for Recognizing and Separating Trademark Image Outer Frames
Abstract
Koji Abe, Haruhiko Kimura, Hideo Nagashima and Taki Kanda
Paper: pp. 126-134
Sigma-Pi Cascade Extended Hybrid Neural Network
Abstract
Eduardo Masato Iyoda, Kaoru Hirota and Fernando J. Von Zuben
Paper: 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

Paper: pp. 72-78
Modeling Photon Counting Experiments using Fuzzy Logic Controller
Abstract
László Nádai
Paper: pp. 79-83
Contribution to Creation of Complex System Macrosituations
Abstract
Eva Ocelíková and Ladislav Madarász
Paper: 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**
Paper: 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

Editorial: 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 impossibl...<more>
Paper: pp. 2-6
Fuzzy Relation with Thresholds and Applications
Abstract
Bui Cong Cuong, Nguyen Hoang Phuong, Phan Hoang Anh, and Koichi Yamada
Paper: 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
Paper: 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
Paper: pp. 25-32
Leaning Causal Models with Conditional Causal Probabilities from Data
Abstract
Koichi Yamada
Paper: pp. 33-40
Approximate Data Querying in Fuzzy Relational Database
Abstract
Rolly Intan, and Masao Mukaidono
Paper: 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
Paper: pp. 51-55
Difference in Areas of the Brain for Fuzzy and Crisp Calculation
Abstract
Takahiro Yamanoi, Masaaki Saito, Michio Sugeno and EIie Sanchez
Paper: pp. 56-61
Decentralized Robust Fuzzy Sliding Mode Control Design of Interconnected Uncertain System
Abstract
Thai Quang Vinh, and Kaoru Hirota
Paper: 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

Regular Papers

Paper: pp. 307-314
Intelligent Hybrid System: A Reliability-Based Failure Management Application
Abstract
Jose Aguilar, Mariela Cerrad and Katiuska Morillo
Paper: pp. 315-325
Fuzzy Difference Equations: The Initial Value Problem
Abstract
James J. Buckley, Thomas Feuring and Yoichi Hayashi
Paper: pp. 326-332
Toward a Bioinspired Fusion of Color and Infrared Textural Image Information
Abstract
Javier Ruiz-del-Solar and Aureli Soria-Frisch
Paper: pp. 333-337
Application of Cooperative Control to Petroleum Plants Using Fuzzy Supervisory Control and Model Predictive Multi-variable Control
Abstract
Takahiro Kobayashi and Tetsuji Tani
Paper: pp. 338-345
Tracking Control of Variable Structure System Using Variable Boundary Layer
Abstract
Heejin Lee

No.5

(Sep)

Selected Papers INES2000

Selected Papers INES2000

Editorial: 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 cont...<more>
Paper: pp. 248-256
Semi-stratified Motion Planning of Multi-agent Manipulation
Abstract
István Harmati, Ma Lantos and Shahram Payandeh
Paper: 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
Paper: 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
Paper: pp. 269-278
Virtual Technology Based Associative Integration of Modeling of Mechanical Parts
Abstract
László Horváth and Imre J. Rudas
Paper: pp. 279-285
Implementing Discrete-time Fractional-order Controllers
Abstract
J. A. Tenreiro Machado
Paper: 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
Paper: pp. 294-299
Human Versus Robotic Shoulder Motion
Abstract
Nives Klopw and Jadran Lenarcic
Paper: 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

Paper: 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
Paper: pp. 201-212
Multiagent Architecture Combined with a Multicontract Protocol for FMS Control
Abstract
Amar Khoukhi and Adlene Moualek
Paper: 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
Paper: pp. 220-228
Evolving Neurofuzzy System by Hybrid Soft Computing Approaches for System Identification
Abstract
Shigeyasu Kawaji and Yuehui Chen
Paper: pp. 229-238
Evolving Basis Function Networks for System Identification
Abstract
Yuehui Chen and Shigeyasu Kawaji
Paper: 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

Editorial: 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 stabili...<more>
Paper: 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
Paper: 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
Paper: 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
Paper: 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
Paper: 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
Paper: pp. 172-179
Application of Adaptive Fuzzy Sliding Mode Control for Bridges
Abstract
Ken Yeh and Wei-Ling Chiang
Paper: 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

Paper: pp. 81-89
Advanced Robot Control Algorithms Based on Fuzzy, Neural and Genetic Methods
Abstract
Szilveszter Pletl and Bela Lantos
Paper: 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
Paper: pp. 99-109
Fuzzification of Kolmogorov Theorem
Abstract
Angel López-Gótnez and Kaoru Hirota
Paper: pp. 110-118
Approximate Reasoning for Processing Uncertainty
Abstract
Hamid Seridi and Herman Akdag
Paper: 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

Editorial: 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 even...<more>
Paper: pp. 2-7
Anytime Evaluation of Regression-Type Algorithms
Abstract
Annamária R. Várkonyi-Kóczy, Tamás Kovácsházy, Orsolya Takács, and Csaba Benedescik
Paper: pp. 8-14
Evolutionary Nonlinear Multimodel Partitioning Filters
Abstract
G. N. Befigiannis, E. N. Demiris and S. D. Likothanassis
Paper: 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
Paper: 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
Paper: 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
Paper: pp. 37-43
Rank-Based Multiple Classifier Decision Combination: A Theoretical Study
Abstract
Afsar Saranli and Mubeccel Demirekler
Paper: pp. 44-50
Information Processing Based on Mixed - Classical and Fuzzy - Data Models
Abstract
Orsolya Takács and Annamária R. Várkonyi-Kóczy
Paper: pp. 51-57
Optimizing and Learning Algorithm for Feed-forward Neural Networks
Abstract
Pilar Bachiller and Julia González
Paper: pp. 58-70
A New Fuzzy Controller for Stabilizing Inverted Pendulums Based on Single Input Rule Modules Dynamically Connected Fuzzy Inference Model
Abstract
Jianqiang Yi, Naoyoshi Yubazaki and Kaoru Hirota
Paper: pp. 71-77
Fuzzy Control Using Piecewise Linear Membership Functions Based on Knowledge of Tuning a PID Controller
Abstract
Kenichiro Hayashi, Akifumi Otsubo and Kazuhiko Shiranita

Vol.4 (2000)

No.6

(Nov)

Multimedia Information Compression Technologies

Multimedia Information Compression Technologies

Editorial: pp. 401-402
Multimedia Information Compression Technologies
T. D. Gedeon
Introduction We are drowning in data. What kinds of data? - Text. Images. Sound. Numeric. Genome data. Text: Every day vast amounts of textual data are generated. This ranges from private corporate data, personal information, public and private government documents and so on. Much of this data needs to be accessed by many users for many tasks. For example, a corporate call centre needs fast access to documents at a semi-concept level to answer user requests. Another example: large litigations can involve 2 million documents, 200,000 of which are relevant, much fewer significant, and a handful pivotal. Techniques are desperately needer to automate the first few steps of this winnowing. Images: There are video cameras everywhere, trying to protect our safety in car parks, public places, even some lifts. There are huge and ever growing still and video archives of all aspects of our modern world. Access and indexing this data is a huge research enterprise. Much indexing is done manually. Sound: Often in concert with video in multi-media recordings. But what did the Prime Minister say on the 1st of November about the Republic? Did he sound like he meant it? These are currently not easily answered queries except if carried out by an expert human investigator. These kind of queries will need to be commonplace to access sound data in humanly meaningful ways. Numeric: Our industries generate vast amounts of valuable numeric data. In the petroleum industry geologic knowledge must be integrated with data from wells: laboratory core analysis data and on-site well logs, with seismic data generated from controlled explosions and dispersed recording devices. Then there is GIS data collected from satellites and so on. In the service industry, the stock exchange generates large amounts of hard to analyse data vital to the wellbeing of Australian companies. Genome data: The human genome project is almost complete. Researchers are finding genes by a mix of laboratory work and computerised database searches (e.g. as reported in the Weekend Australian 30 October). This is just the first step, the next will be sequencing of a number of...<more>
Paper: pp. 403-407
A Methodology for Developing Adaptive Fuzzy Cognitive Maps for Decision Support
Abstract
M. Shamim Khan, Alex Chong, and Tom Gedeon
Paper: pp. 408-411
Fuzzy Control of Back-Propagation Training
Abstract
Michael Negnevitsky and Martin J. Ringrose
Paper: pp. 412-416
Indexing Visual Features Using a Hybrid Neural Network
Abstract
Jesse S. Jin, Henry C. Wang and Tom Gedeon
Paper: pp. 417-420
Improving the Approximation Smoothness of Radial Basis Neural Networks
Abstract
Anthony Little and Leonid Reznik
Paper: pp. 421-427
Implementation of Fuzzy Legal Expert System FLES
Abstract
Kaoru Hirota, MingQiang Xu, Yasufumi Takama and Hajime Yoshino
Paper: pp. 428-436
Kansei Information Processing in Multimedia Applying Intelligent Soft Computing Techniques
Abstract
Takehisa Onisawa
Paper: pp. 437-442
Robotic System based on Computational Intelligence - Evolutionary Generation of Regrasping Motion
Abstract
Toshio Fukuda, Yasuhisa Hasegawa
Paper: pp. 443-449
Deep Fusion of Computational and Symbolic Intelligent Processing by Symbol Emergence
Abstract
Shun’ichi Tano
Paper: pp. 450-456
Image Retrieval using Conceptual Fuzzy Sets
Abstract
Tomohiro Takagi, Kazushi Kawase and Kazuhiko Otsuka
Paper: pp. 457-463
Topic-based Intelligent Support System for Information Retrieval
Abstract
Yasufumi Takama and Kaoru Hirota

No.5

(Sep)

Fuzzy Logic and Intelligence System

Fuzzy Logic and Intelligence System

Editorial: pp. 319-320
Fuzzy Logic and Intelligence System
Hyung Lee-Kwang and Ju-Jang Lee
These papers are originally published in the proceedings of Korea fuzzy logic and intelligent systems society (KFIS) fall conference in 1999. Eight papers are selected for this special issue. Major topics of them are fuzzy theory, neural network, inference system, intelligent controller, etc. In this issue, Seihwan Park and Hyung Lee-Kwang extend the concept of fuzzy hypergraph to type-2 fuzzy hypergraph using type-2 fuzzy sets. It has not only the same properties of hypergraphs but also the extended properties of them. It is also shown that interval valued fuzzy hypergraph is a special case of type-2 fuzzy hypergraph. Jung-Heum Yon, Yong-Taek Kim, Jae-Yong Seo and Hong-Tae Jeon design an efficient neural network called dynamic multidimensional wavelet neural network. It can perform an effective dynamic mapping with less dimensions of the input signal. These features show one way to compensate the weakness of the diagonal recurrent neural network and feedforward wavelet neural network. Yigon Kim, Yang Hee Jung and Young Chel Bae propose a new method for diagnosis of insulation aging using wavelet. It measures the partial discharge on-line from data acquisition system and analyses it using wavelet to acquire 21) patterns. They design a neuro-fuzzy model that diagnoses an electrical equipment using the data. Byung-Jae Choi, Seong-Woo Kwak and Byung Kook Kim develop an adaptive fuzzy logic controller. A sole input fuzzy variable is used to simplify the design procedure and the switching hyperplane of sliding mode control is used to improve the adaptability. Myung-Geun Chun, Keun-Chang Kwak and Jeong-Woong Ryu show an efficient fuzzy rule generation scheme for adaptive network-based fuzzy inference system using the conditional fuzzy c-means and fuzzy equalization methods. They apply this method to the truck backer-upper control and Box-Jenkins modeling problem. Daijin Kim proposes a new data classification method based on the tolerant rough set that extends the existing equivalent rough set. Twostage classification method is used. All data are classified by using the lower approximation at the first stage and then the non-clas...<more>
Paper: pp. 321-326
Design of a Single-input Adaptive Fuzzy Logic Controller using a Switching Hyperplane
Abstract
Byung-Jae Choi, Seong-Woo Kwak, Byung Kook Kim
Paper: pp. 327-335
IRIS Data Classification Using Tolerant Rough Sets1
Abstract
Daijin Kim, Sung-Yang Bang
Paper: pp. 336-340
Dynamic Multidimensional Wavelet Neural Network and Its Application
Abstract
Jung-Heum Yon, Yong-Taek Kim, Jae-Yong Seo, and Hong-Tae Jeon
Paper: pp. 341-348
New 2-DOF PID Controller Tuning by Adaptive Neural Fuzzy Inference System for Gas Turbine Control System
Abstract
Dong Hwa Kim and Chang Kee Jung
Paper: pp. 349-354
Self-Learning Fuzzy Logic Controller using Q-Learning
Abstract
Min-Soeng Kim, Sun-Gi Hong and Ju-Jang Lee
Paper: pp. 355-361
A Fuzzy Rule Extraction Method for ANFIS Using CFCM and Fuzzy Equalization
Abstract
Myung-Geun Chun, Keun-Chang Kwak, Jeong-Woong Ryu and Witold Pedrycz
Paper: pp. 362-367
Type-2 Fuzzy Hypergraphs Using Type-2 Fuzzy Sets
Abstract
Seihwan Park and Hyung Lee-Kwang
Paper: pp. 368-372
Design of Diagnosis System for Insulation Degradation by Using Neurofuzzy Model
Abstract
Yigon Kim, Yang Hee Jung and Yong Chul Bae
Paper: pp. 373-379
Rule Reduction and Robust Control of Generalized Takagi-Sugeno Fuzzy Systems
Abstract
Tadanari Taniguchi and Kazuo Tanaka
Paper: pp. 380-386
Fuzzy Flip-Flops and their Applications to Fuzzy Memory Element and Circuit Design using FPGA
Abstract
Shin-ichi Yoshida, Yasufumi Takama and Kaoru Hirota
Paper: pp. 387-394
Support System for Multimedia Information Data Acquisition Based on Fuzzy Inference with a Fuzzy Shift
Abstract
Kabsuk Oh, Kaoru Hirota

No.4

(Jul)

Intelligent Engineering Systems

Intelligent Engineering Systems

Editorial: pp. 237-239
Intelligent Engineering Systems
Imre J. Rudas
The "information revolution" of our time affects our entire generation. While a vision of the "Information Society," with its financial, legal, business, privacy, and other aspects has emerged in the past few years, the "traditional scene" of information technology, that is, industrial automation, maintained its significance as a field of unceasing development. Since the old-fashioned concept of "Hard Automation" applicable only to industrial processes of fixed, repetitive nature and manufacturing large batches of the same product1)was thrust to the background by keen market competition, the key element of this development remained the improvement of "Machine Intelligence". In spite of the fact that L. A. Zadeh already introduced the concept of "Machine Intelligence Quotient" in 1996 to measure machine intelligence2) , this term remained more or less of a mysterious meaning best explicable on the basis of practical needs. The weak point of hard automation is that the system configuration and operations are fixed and cannot be changed without incurring considerable cost and downtime. Mainly it can be used in applications that call for fast and accurate operation in large batch production. Whenever a variety of products must be manufactured in small batches and consequently the work-cells of a production line should be quickly reconfigured to accommodate a change in products, hard automation becomes inefficient and fails due to economic reasons. In these cases, new, more flexible way of automation, so-called "Soft Automation," are expedient and suitable. The most important "ingredient" of soft automation is its adaptive ability for efficiently coping with changing, unexpected or previously unknown conditions, and working with a high degree of uncertainty and imprecision since in practice increasing precision can be very costly. This adaptation must be realized without or within limited human interference: this is one essential component of machine intelligence. Another important factor is that engineering practice often must deal with complex systems of multiple variable and multiple parameter models al...<more>
Paper: pp. 240-245
ARTMAP Neural Networks for Multispectral Image Classification
Abstract
Norbert Kopco, Peter Sincak and Stanislav Kaleta
Paper: pp. 246-250
Similarity Relations in Diagnosis Fuzzy Systems
Abstract
Ján Vascák and Ladislav Madarász
Paper: pp. 251-257
System Architecture for Support of Knowledge Management
Abstract
Marek Paralic, Tomás Sabol and Marian Mach
Paper: pp. 258-262
Cluster Analysis as a First Step in the Knowledge Discovery Process
Abstract
Andreas Rauber and Jan Paralic
Paper: pp. 263-267
Approach to Scheduling Problem Solution in Production Systems Using the Multiagent System
Abstract
Frankoviè, B., Labátová S. and Budinská, I.
Paper: pp. 268-278
Emerging Intelligent Technologies in Computer-Aided Engineering
Abstract
László Horváth and Imre J. Rudas
Paper: pp. 279-285
Simultaneous Optimization of the External Loop Parameters in an Adaptive Control Based on the Co-operation of Uniform Procedures
Abstract
József K. Tar, Imre J. Rudas, Ladislav Madarász and János F. Bitó
Paper: pp. 286-293
Complexity Minimalization of Nonsingleton-based Fuzzy-Neural Network
Abstract
Kin-fong Lei, Péter Baranyi and Yeung Yam
Paper: pp. 294-301
Learning M-of-N Concepts for Medical Diagnosis Using Neural Networks
Abstract
Yoichi Hayashi, Rudy Setiono and Katsumi Yoshida
Paper: pp. 302-312
Trajectory Tracking Control of Unconstrained Object Using the SIRMs Dynamically Connected Fuzzy Inference Model
Abstract
Jianqiang Yi, Naoyoshi Yubazaki and Kaoru Hirota

No.3

(May)

Sampling Research on Advanced Computational Intelligence in Canada

Sampling Research on Advanced Computational Intelligence in Canada

Editorial: p. 187
Sampling Research on Advanced Computational Intelligence in Canada
Max Meng and Witold Pedrycz
The 1999 IEEE Canadian Conference on Electrical and computer Engineering (CCECE'99) was held from May 9 to 12, 1999, at the Shaw Conference Centre in Edmonton. The conference was a great success with over 380 papers presented and more than 400 peoples from 38 different countries presenting their recent research results. The area of Computational Intelligence was one of the vivid pursuits presented at the conference. Subsequently, we have been invited by the Editors-in-Chief of the Journal of Advanced Computational Intelligence to prepare a Special Issue of the Journal CCECE'99 conference. After a careful and strict peer review process, we have chosen six papers to be included in this special issue. They are selected from more than 20 papers submitted to this special issue, which are extended versions of the papers presented at the CCECE'99 conference in the areas of advanced computational intelligence. The papers fully reflect the breadth and diversity of conceptual and algorithmic facets of Computational Intelligence along with a spectrum of applications. We thank the authors and reviewers for doing an excellent job. We are grateful to Kaoru Hirota and Toshio Fukuda for making this selection of papers a part of the journal. We do hope the readers will enjoy this issue.
Paper: pp. 188-194
Fuzzy Time-Series Model of Electric Power Consumption
Abstract
Kazuhiro Ozawa, ’Takahide Niimura and Tomoaki Nakashima
Paper: pp. 195-199
Application of Fuzzy Control to a Riderless Bicycle
Abstract
Gérard Lachiver and Saïd Berriah
Paper: pp. 200-205
Neural Network Based Power Flow Predictor
Abstract
S. Madan and K. E. Bollinger
Paper: pp. 206-211
Classification of Volumetric Storm Cell Patterns
Abstract
M. Alexiuk, N. Pizzi, P C. Li and W. Pedrycz
Paper: pp. 212-219
Fuzzy Logic Based Speed Control of an IPM Synchronous Motor Drive
Abstract
M. N. Uddin and M. A. Rahman
Paper: pp. 220-229
An Efficient Neural Network Model for Path Planning of Car-like Robots in Dynamic Environment
Abstract
Simon X. Yang and Max Meng

No.2

(Mar)

Simulated Evolution and Learning

Simulated Evolution and Learning

Editorial: p. 129
Simulated Evolution and Learning
Xin Yao
Evolution and learning are two fundamental forms of adaptationl,2). Simulated evolution and learning refers to the study of techniques and methods inspired by Nature for solving complex and difficult real-world problems. These techniques and methods include evolutionary algorithms3), fuzzy learning algorithms, neural learning algorithms, and various statistical learning methods such as nearest neighbor classifiers. In addition to various learning tasks, these techniques and methods have also been applied to various difficult optimization problems that cannot be solved effectively by classical methods (such as mathematical programming methods). This special issue contains six papers selected from those presented at the Second Asia-Pacific Conference on Simulated Evolution And Learning (SEAL'98), Canberra, Australia, 24-27 November 1998. However, all six papers have been rereviewed and substantially extended and revised. They represent significant improved work from their original SEA L'98 papers. The six papers can be grouped into three categories. The first two papers by He et al. and by Ishibuchi and Nakashima described novel applications of genetic algorithms to nearest neighbor classifiers. The next two papers by Kawakami et al. and by Tachibana and Furuhashi presented new fuzzy learning systems. The last two papers by Myung and Kim and by Yu and Wu discussed constrained optimization using the evolutionary approach. I would like to take this opportunity to thank Dr Bob McKay, the SEAL'98 Organizing Committee Chair, for playing a pivotal role in organizing the very successful SEAL'98, Professor Kaoru Hirota, the Editor-in-Chief of the Journal of Advanced Computational Intelligence, for encouraging me to edit this special issue, and all the authors for their high-quality work. References: 1)X. Yao, J-H. Kim, and T. Furuhashi, eds., Simulated Evolution and Learning, Vol. 1285 of Lecture Notes in Artificial Intelligence. Berlin, Germany: Springer-Verlag, 1997. 2)B. Mckay, X. Yao, C. S. Newton, J-H. kim, and T. Furuhashi, eds., Simulated Evolution and Learning, Vo1.1585 of Lecture Notes in Artificial Intelligence. Berlin, Ge...<more>
Paper: pp. 130-137
Application of Genetic Algorithm and K-Nearest Neighbour Method in Real World Medical Fraud Detection Problem
Abstract
Hongxing He, Simon Hawkins, Warwick Graco and Xin Yao
Paper: pp. 138-145
Pattern and Feature Selection by Genetic Algorithms in Nearest Neighbor Classification
Abstract
Hisao Ishibuchi and Tomoharu Nakashima
Paper: pp. 146-151
A Reinforcement Learning Scheme of Fuzzy Rules with Reduced Conditions
Abstract
Hiroshi Kawakami, Osamu Katai and Tadataka Konishi
Paper: pp. 152-157
Uneven Input Space Division and Balance of Generality and Conciseness of Submodels for Hierarchical Fuzzy Modeling
Abstract
Kanta Tachibana and Takeshi Furuhashi
Paper: pp. 158-163
Multiple Lagrange Multiplier Method for Constrained Evolutionary Optimization
Abstract
Hyun Myung and Jong-Hwan Kim
Paper: pp. 164-170
An Adaptive Penalty Function Method for Constrained Optimization with Evolutionary Programming
Abstract
Xinghuo Yu and Baolin Wu
Paper: pp. 171-176
Knowledge Based Automated Boundary Detection for Qualifying of LV Function in Low Contrast Angiographic Images
Abstract
Yang Hee Yee , Chun Kee Jeon , Sang-Rok Oh and Mignon-Park
Paper: pp. 177-184
Vehicles Dispatching Problem for Cooperative Deliveries from Multiple Depots
Abstract
Kewei Chen, Yasufumi Takama and Kaoru Hirota

No.1

(Jan)

Special Issue on Hybrid System

Special Issue on Hybrid System

Paper: pp. 3-11
Visualization of Categorical Data by Hybridization of Two Types of Neural Networks
Abstract
Masahiro Tanaka and Hideki Fujiwara
Paper: pp. 12-17
Fast Neuro-Classification of New and Used Bills Using Spectral Patterns of Acoustic Data
Abstract
Dongshik Kang, Sigeru Omatu and Michifumi Yoshioka
Paper: pp. 18-23
Neuro-Classification of Currency Fatigue Levels Based on Acoustic Cepstrum Patterns
Abstract
Masaru Teranishi, sigeru Omatu and Toshihisa Kosaka
Paper: pp. 24-30
A Rule Discovery by Fuzzy Classifier System Utilizing Symbolic Information
Abstract
Makoto Fujii and Takeshi Furuhashi
Paper: pp. 31-38
Using Rough Sets for Practical Feature Selection in a Rough Sets/Neural Network Framework for Knowledge Discovery
Abstract
Ilona Jagielska
Paper: pp. 39-45
Knowledge Processing System Using Chaotic Associative Memory
Abstract
Yuko Osana and Masafumi Hagiwara
Paper: pp. 46-51
Procedural Knowledge Processing Based on Area Representation Using a Neural Network
Abstract
Seiya Fujinaga and Masafumi Hagiwara
Paper: pp. 52-56
Application of Choquet Integral to Efficient Aggregation of Neural Networks
Abstract
Sung-Bae Cho
Paper: pp. 57-65
The Application of Hybrid Evolving Connectionist Systems to Image Classification
Abstract
Nikola K. Kasabov, Steven A. Israel and Brendon J. Woodford
Paper: pp. 66-75
Differentiation of the Choquet Integral and Its Application to Long-term Debt Ratings
Abstract
Toshihiro Kaino and Kaoru Hirota
Paper: pp. 76-87
Temporal-Hierarchical Emergency-Degree Inference System for Running Vehicles Using Image and Navigation Data
Abstract
Satoshi Koizumi, Masayuki Matsushita, Yasufumi Takama, Hiroshi Takahashi and Kaoru Hirota
Paper: pp. 88-94
A Genetic Algorithm for Machines Sequencing Considering Operation Flexibility and AGV Guidepath
Abstract
Chiung Moon and Mitsuo Gen
Paper: pp. 95-101
Fuzzy Rule Interpolation by the Conservation of Relative Fuzziness
Abstract
Laszlo T. Koczy, Kaoru Hirota and Tamas D. Gedeon
Paper: pp. 102-110
Representation and Propagation of Information Granules in Rule-based Computing
Abstract
Witold Pedrycz and George Vulcovich
Paper: pp. 111-119
Non-network Type Artificial Immune System and its Application to Automated Guided Vehicle (AGV) System
Abstract
Ben T. Nohara and Hiroko Takahashi
Paper: pp. 120-127
A New Approach To Speech Coding: the Neural Predictive Coding
Abstract
Bruno Gas, Jean Luc Zarader and Cyril Chavy

Vol.3 (1999)

No.6

(Dec)

Introduction to the Special Issue on Learning in Intelligent Algorithms and Systems Design

Introduction to the Special Issue on Learning in Intelligent Algorithms and Systems Design

Editorial: pp. 439-440
Introduction to the Learning in Intelligent Algorithms and Systems Design
Chengqi Zhang*, Ling Guan** and Zheru Chi
Learning has long been and will continue to be a key issue in intelligent algorithms and systems design. Emulating the behavior and mechanisms of human learning by machines at such high levels as symbolic processing and such low levels as neuronal processing has long been a dominant interest among researchers worldwide. Neural networks, fuzzy logic, and evolutionary algorithms represent the three most active research areas. With advanced theoretical studies and computer technology, many promising algorithms and systems using these techniques have been designed and implemented for a wide range of applications. This Special Issue presents seven papers on learning in intelligent algorithms and systems design from researchers in Japan, China, Australia, and the U.S. Neural Networks: Emulating low-level human intelligent processing, or neuronal processing, gave birth of artificial neural networks more than five decades ago. It was hoped that devices based on biological neural networks would possess characteristics of the human brain. Neural networks have reattracted researchers' attention since the late 1980s when back-propagation algorithms were used to train multilayer feed-forward neural networks. In the last decades, we have seen promising progress in this research field yield many new models, learning algorithms, and real-world applications, evidenced by the publication of new journals in this field. Fuzzy Logic: Since L. A. Zadeh introduced fuzzy set theory in 1965, fuzzy logic has increasingly become the focus of many researchers and engineers opening up new research and problem solving. Fuzzy set theory has been favorably applied to control system design. In the last few years, fuzzy model applications have bloomed in image processing and pattern recognition. Evolutionary Algorithms: Evolutionary optimization algorithms have been studied over three decades, emulating natural evolutionary search and selection so powerful in global optimization. The study of evolutionary algorithms includes evolutionary programming (EP), evolutionary strategies (ESs), genetic algorithms (GAs), and genetic program...<more>
Paper: pp. 441-445
Enhancement of Eyeround Images Based on an Improved Fuzzy Algorithm
Abstract
Yaming Wang, Jiajun Wang, Yuanmei Wang and Yude Dong
Paper: pp. 446-450
Design of Self-Learning Hierarchical Fuzzy Logic for Guidance and Control of Multirobot Systems
Abstract
Masoud Mohammadian
Paper: pp. 451-456
Speaker Verification with Fuzzy Fusion and Genetic Optimization
Abstract
Tuan Pham and Michael Wagner
Paper: pp. 457-461
Evolving Cooperative Groups Using Shared Memory
Abstract
Narendra Puppala and Sandip Sen
Paper: pp. 462-466
An Evolutionary Algorithm for Optimizing Handwritten Numeral Templates Represented by Rational B-Spline Surfaces
Abstract
Zheru Chi, Zhongkang Lu, Wan-chi Siu and Peng-Fei Shi
Paper: pp. 467-473
Determining the Optimal Number of Clusters by an Extended RPCL Algorithm
Abstract
Xin Li, Man Wai Mak and Chi Kwong Li
Paper: pp. 474-478
Adaptive Reinforcement Learning Integrating Exploitation-and Exploration-oriented Learning
Abstract
Satoshi Kurihara, Rikio Onai and Toshiharu Sugawara
Paper: pp. 479-484
Emotional Robotic System with Psychological Model
Abstract
Hidenori Ishihara and Toshio Fukuda
Paper: pp. 485-490
Probabilistic Learning-Network-Based Robust Control Scheme for Nonlinear Systems
Abstract
Jinglu Hu, Kotaro Hirasawa, Junichi Murata, Chunzhi Jin and Takuya Matsuoka
Paper: pp. 491-498
Realization of PID Control by Fuzzy Inference and its Application to Hybrid Control
Abstract
Kenichiro Hayashi, Akifumi Otsubo and Kazuhiko Shiranita
Paper: pp. 499-508
Fuzzy Sets of Type-2
Abstract
Robert John
Paper: pp. 509-514
Null Queries with Compound Fuzzy Attributes
Abstract
Shyue-Liang Wang and Yu-Jane Tsai
Paper: pp. 515-518
Fuzzy Control of a Direct Current Motor System and Stability Analysis
Abstract
Euntai Kim, Heejin Lee and Dongyon Kim
Paper: pp. 519-523
Narrowing Algorithm for Indoor-Air Pollutants using Gas Sensor Patterns
Abstract
Takashi Oyabu, Takeshi Onodera, Hidetaka Nambo and Haruhiko Kimura
Paper: pp. 524-531
Neurofuzzy Approach to Fault Detection of Nonlinear Systems
Abstract
Jinglu Hu, Kotaro Hirasawa and Kousuke Kumamaru
Paper: pp. 532-540
Quality Function for Unsupervised Classification and its Use in Graphic Arts
Abstract
Adas Gelzinis, Antanas Verikas and Kerstin Malmgvist

No.5

(Oct)

Rule Extraction from Data

Rule Extraction from Data

Editorial: pp. 339-340
Rule Extraction from Data
Takeshi Furuhashi
Rule extraction from data is one of the key technologies for solving the bottlenecks in artificial intelligence. Artificial neural networks are well suited for representing any knowledge in given data. Extraction of logical/fuzzy rules from the trained artificial neural network is of great importance to researchers in the fields of artificial intelligence and soft computing. Fuzzy rule sets are capable of approximating any nonlinear mapping relationships. Extraction of rules from data has been discussed in terms of fuzzy modeling, fuzzy clustering, and classification with fuzzy rule sets. This special issue entitled"Rule Extraction from Data" is aimed at providing the readers with good insights into the advanced studies in the field of rule extraction from data using neural networks/fuzzy rule sets. I invited seven research papers best suited for the theme of this special issue. All the papers were reviewed rigorously by two reviewers each. The first paper proposes an interesting rule extraction method from data using neural networks. Ishikawa presents a combination of learning with an immediate critic and a structural learning with forgetting. This method is capable of generating skeletal networks for logical rule extraction from data with correct and wrong answers. The proposed method is applied to rule extraction from lense data. The second paper presents a new methodology for logical rule extraction based on transformation of MLP (multilayered perceptron) to a logical network. Duck et al. applied their C-MLP2LN to the Iris benchmark classification problem as well as real-world medical data with very good results. In the third paper, Geczy and Usui propose fuzzy rule extraction from trained artificial neural networks. The proposed algorithm is implied from their theoretical study, not from heuristics. Their study enables to initially consider derivation of crisp rules from trained artificial neural network, and in case of conflict, application of fuzzy rules. The proposed algorithm is experimentally demonstrated with the Iris benchmark classification problem. The fourth paper presents a new framework for fuzzy modeling ...<more>
Paper: pp. 341-347
Rule Extraction by Structural Learning with an Immediate Critic
Abstract
Masumi Ishikawa
Paper: pp. 348-356
Hybrid Neural-global Minimization Method of Logical Rule Extraction
Abstract
Wlodzislaw Duch, Rafal Adamczak, KrzysAof Grabczewski and Grzegorz Zal
Paper: pp. 357-367
Fuzzy Rule Acquisition from Trained Artificial Neural Networks
Abstract
Peter Geczy, Shiro Usui
Paper: pp. 368-372
A New Framework for Fuzzy Modeling Using Genetic Algorithm
Abstract
Seiichi Matsushita, Takeshi Furuhashi and Hiroaki Tsutsui
Paper: pp. 373-385
Fuzzy Modeling with Local and Global Objectives
Abstract
John Yen and Wayne Gillespie
Paper: pp. 386-393
Linguistic Rule Extraction from Numerical Data for High-dimensional Classification Problems
Abstract
Hisao Ishibuchi, Tadahiko Murata and Tomoharu Nakashima
Paper: pp. 394-400
Assessing the Relevance of Processing Building Blocks in Evolutionary Computation: Experiments with Linear Systems of Equations
Abstract
David B. Fogel and Peter J. Angeline
Paper: pp. 401-408
Dynamic Service Identification in A Distributed Environment
Abstract
E.Damiani and M.G.Fugini
Paper: pp. 409-417
Fuzzy Cognitive Map Approach to Process Control Systems Chrysostomos
Abstract
D. Stylios, Peter P Groumpos and Voula C. Georgopoulos
Paper: pp. 418-426
Coevolutionary Algorithms for Realization of Intelligent Systems
Abstract
Hyo-Byung Jun and Kwee-Bo Sim
Paper: pp. 427-430
Neural Network-Based Speed Control of A Two-Mass-Model System
Abstract
Rached Dhaouadi, Khaled Nouri
Paper: pp. 431-438
Improvement of Control Performance for Low-Dimensional Number of Fuzzy Labeling Using Simplified Inference
Abstract
Kenichiro Hayashi, Akifumi Otsubo and Kazuhiko Shiranita

No.4

(Aug)

Professor Ernest Czogala Memorial Issue Part 2

Professor Ernest Czogala Memorial Issue Part 2

Editorial: p. 213
Professor Ernest Czogala Memorial Issue Part 2
Yoichi Hayashi
After the publication of Professor Ernest Czogala Memorial Issue Part 1, I found 2 obituaries, one in the International Journal of Applied Mathematics and Computer Science, Vo1.9 No.1, published by the Technical University Press, Poland, by Maria Drelichowska and Lucjan Karwan of the Technical University, Silesia, Gliwice, Poland. The other was published"Fuzzy Systems in Medicine" (P.S. Szczepaniak eds.), Physica-Verlag, published in January 2000, which included my paper,"Fuzzy and Crisp Logical Rule Extraction Methods in Application to Medical Data," which I wrote in collaboration with W. Duch et al. This issue includes the final paper,"A Classifier Based on Neurofuzzy Inference," by Ernest Czogala, Jacek Leski, and Yoichi Hayashi, which is why this edition has been published later than planned. I would like include a comment by Samuel Ullman, written in Birmingham, Alabama, where Ernest's cousin and researcher James J. Buckley works: "Youth is not a time of life; it is a state of mind... Nobody grows old merely by years. We grow old by deserting our ideals." The Samuel Ullman Museum at the University of Alabama is at 2150 15th Avenue South, Birmingham, Alabama 35294-1150 (phone:001(205)934-5634), thanks to citizens of Japan and the United States. We thank Drs. Toshio Fukuda and Kaoru Hirota, Editors in Chief of the JACI, for accepting my proposal for this special issue. Special thanks also go to the referees for their cooperation, devotion, and review. We also thank Fuji Technology Press President Keiji Hayashi for his dedicated work.
Paper: pp. 215-222
Knowledge Extraction from Unknown Environment by Artificial-life Approach
Abstract
Ryoji Sawa, Yuji Makita and Masafumi Hagiwara
Paper: pp. 223-233
Emergence of Learning Rule in Neural Networks Using Genetic Programming Combined with Decision Trees
Abstract
Noboru Matsumoto, Kenneth J. Mackin and Eiichiro Tazaki
Paper: pp. 234-244
Temporal Event Association and Output-Dependent Learning: A Proposed Scheme of Neural Molecular Connections
Abstract
Yukifumi Shigematsu, Hiroshi Okamoto, Kazuhisa Ichikawa and Gen Matsumoto
Paper: pp. 245-254
Fuzzy Neural Models Based on Some New Fuzzy* Arithmetic Operations
Abstract
Petr Musilekl and Madan M. Gupta
Paper: pp. 255-263
Conceptual Fuzzy Matching and the Realization of Search Agents
Abstract
Tomohiro Takagi, Shinichi Kasuya, Masao Mukaidono and Toru Yamaguchi
Paper: pp. 264-273
Theories of Set and Logic with Crisp or Fuzzy Information Granules
Abstract
I.B. Turksen
Paper: pp. 274-281
Car Type/Name Recognition System Based on The Concept of Fixation
Abstract
Yoshinori Arai, Kaoru Hirota
Paper: pp. 282-288
A Classifier Based on Neuro-Fuzzy Inference System Ernest
Abstract
Czogala, Jacek Leski, and Yoichi Hayashi
Paper: pp. 289-298
Compensatory Multicriteria Aggregation Algorithm
Abstract
Marcelo Godoy Simoes
Paper: pp. 299-302
SIRMs Connected Fuzzy Inference Model Applied to Process Control -- Automatic Tuning Using a Genetic Algorithm Carla Cavalcante
Abstract
Koike and Kaoru Hirota
Paper: pp. 303-311
LimNet-Flexible Learning Network Containing Linear Properties
Abstract
Jinglu Hu, Kotaro Hirasawa and Kousuke Kumamaru
Paper: pp. 312-319
Control of Decentralized Systems Based on Nash Equilibrium Concept of Game Theory
Abstract
Kotaro Hirasawa, Jinglu Hu, Yusuke Yamamoto, Chunzhi Jin and Yurio Eki
Paper: pp. 320-325
Moving Genetic Algorithm Based Fuzzy Modeling
Abstract
Euntai Kim, Heejin Lee, Chang-Hoon Lee, Jung-Hwan Kim
Paper: pp. 326-331
Local Representation Neural Networks for Feature Selection
Abstract
M. Mar Abad Grau and L. Daniel Hernandez Molinero
Paper: pp. 332-338
Tracking Control of Variable Structure Using Fuzzy Variable Boundary Layer
Abstract
Heejin Lee, Dong-Yon Kim, Taeck-Kie Lee, Sang-Hoon Kim, and Mignon Park

No.3

(Jun)

Professor Ernest Czogala Memorial Issue Part 1

Professor Ernest Czogala Memorial Issue Part 1

Editorial: pp. 149-150
Professor Ernest Czogala Memorial Issue Part 1
Yoichi Hayashi
As you may know from recent e-mail, BUSEFAL Vo1.76, Obituary, and Fuzzy Sets and Systems (FSS), Vo1.104, No.2, Obituary, Prof. Ernest Czogala passed away on October 8, 1998. First, I would like to express my sincere condolences to his eldest daughter Theresa Czogala-Koczy and son. The call for papers for this special issue has been answered from all over the globe. This issue includes the first seven accepted. The next issue will include those remaining. Since a formal obituary was provided by Professor Witold Pedrycz, a student of Ernest, in FSS as indicated above, I will add a few words of my own here. I first met Prof. Czogala when I was a visiting professor at the University of Alabama at Birmingham (UAB) Department of Computer and Information Sciences in 1990-1991. He was visiting the Mathematics Department, working with Professor James J. Buckley. When I first met Ernest, I intuitively felt that he, Jim (Prof. Buckley), and I would accomplish outstanding work in the near future. I promised to invite Ernest and Jim to Ibaraki University Department of Computer and Information Sciences in summer 1991. After my sabbatical at UAB, I received a letter from Ernest, asking, "Could I really visit your university for a month?" I immediately sent a formal invitation letter to Ernest and Jim. Ernest purchased an airline ticket between Poland and Japan - a princely sum equal to 6 months of his salary! He arrived August 19, 1991, at Narita Airport around 07:30 aboard All Nippon Airways from Poland via Wien. I drove a Toyota Camry to Narita from Hitachi City, Ibaraki Prefecture - a 2.5-hour excited jaunt. My wife Madoka and I went to pick him up. He appeared easygoing, shod in flip-flops. Madoka and I took him to Narita-san Temple - and found he had only 50 DM with him! After spending a few hours at Narita-san and eating lunch, Jim arrived from Birmingham. We picked him up and returned to Hitachi. Ibaraki University has a very old-fashioned guesthouse - but it only cost 700 a day. The next day, a coup d'etat shook Moscow. Ernest applauded, saying "Poland will be free." From that day, we started our cooperative research in an un-air...<more>
Paper: pp. 151-157
Fuzzy Set Based Neural Networks: Structure, Learning and Application
Abstract
Walmir Caminhas, Hermano Tavares, Fernando Gomide and Witold Pedrycz
Paper: pp. 158-163
On the Optimization of Fuzzy-Controllers by Neural Networks
Abstract
Wolfram-M. Lippe, Steffen Niendieck, Andreas Tenhagen
Paper: pp. 164-170
Fuzzy Geometry Database
Abstract
James J. Buckley, Thomas Feuring and Yoichi Hayashi
Paper: pp. 171-176
Solving Fuzzy Problems in Operations Research
Abstract
James J. Buckley, Thomas Feuring and Yoichi Hayashi
Paper: pp. 177-185
Neuro-Fuzzy Systems Approaches
Abstract
Danuta Rutkowska, Yoichi Hayashi
Paper: pp. 186-192
Behavior Generation for Mobile Robot Coordinating Simple Behavior
Abstract
Yasuhisa Hasegawa and Toshio Fukuda
Paper: pp. 193-199
Knowledge-Based Approach in Intelligent Handwritten Form Processing
Abstract
Liya Ding and Ho Chung Lui
Paper: pp. 200-206
Self-Tuning for Fuzzy Rule Generation Based upon Fuzzy Singleton-type Reasoning Method
Abstract
Yan Shi and Masaharu Mizumoto
Paper: pp. 207-210
Utility Revision Mechanism Based on User’s Subjective Decision Hierarchy for Multiagent-Based Group Decision Support
Abstract
Takayuki Ito and Toramatsu Shintani

No.2

(Apr)

Advanced Computational Intelligence in Control Theory and Applications

Advanced Computational Intelligence in Control Theory and Applications

Editorial: p. 67
Advanced Computational Intelligence in Control Theory and Applications
Kazuo Tanaka
We are witnessing a rapidly growing interest in the field of advanced computational intelligence, a "soft computing" technique. As Prof. Zadeh has stated, soft computing integrates fuzzy logic, neural networks, evolutionary computation, and chaos. Soft computing is the most important technology available for designing intelligent systems and control. The difficulties of fuzzy logic involve acquiring knowledge from experts and finding knowledge for unknown tasks. This is related to design problems in constructing fuzzy rules. Neural networks and genetic algorithms are attracting attention for their potential in raising the efficiency of knowledge finding and acquisition. Combining the technologies of fuzzy logic and neural networks and genetic algorithms, i.e., soft computing techniques will have a tremendous impact on the fields of intelligent systems and control design. To explain the apparent success of soft computing, we must determine the basic capabilities of different soft computing frameworks. Give the great amount of research being done in these fields, this issue addresses fundamental capabilities. This special issue is devoted to advancing computational intelligence in control theory and applications. It contains nine excellent papers dealing with advanced computational intelligence in control theory and applications such as fuzzy control and stability, mobile robot control, neural networks, gymnastic bar action, petroleum plant control, genetic programming, Petri net, and modeling and prediction of complex systems. As editor of this special issue, I believe that the excellent research results it contains provide the basis for leadership in coming research on advanced computational intelligence in control theory and applications.
Paper: pp. 68-74
Nonlinear Model Following Control via Takagi-Sugeno Fuzzy Model
Abstract
Tadanari Taniguchi and Kazuo Tanaka
Paper: pp. 75-81
Evolutionary Strategy Using Statistical Information and Its Application to Mobile Robot Control
Abstract
Kiyotaka Izumi, Keigo Watanabe, and M.M.A. Hashem
Paper: pp. 82-98
Computational Intelligence for Robust Control Algorithms of Complex Dynamic Systems with Minimum Entropy Production
Abstract
S.V. Ulyanov, K. Yamafuji, V.S. Ulyanov, I. Kurawaki, T. Hagiwara and S.A. Panfilov
Paper: pp. 99-105
Fuzzy Control Stability Analysis Using a Generalized Fuzzy Petri Net Model
Abstract
Takeshi Furuhashi, Hidehiro Yamamoto, James F. Peters and Witold Pedrycz
Paper: pp. 106-113
Hierarchical Fuzzy Intelligent Controller for Gymnastic Bar Actions
Abstract
Junji Nishino, Akihiro Tagawa, Haruhiko Shirai, Tomohiro Odaka and Hisakazu Ogura
Paper: pp. 114-125
Recursive Fuzzy Modeling Based on Fuzzy Interpolation
Abstract
Saeed Bagheri Shouraki and Nakaji Honda
Paper: pp. 126-130
Hierarchical Control System with Fuzzy Supervisory System and PID Controller and Application to Large-Scale Hydrogen Gas Purity Control
Abstract
Tetsuji Tani, Takahiro Kobayashi and Sadaaki Miyamoto
Paper: pp. 131-135
Fuzzy Adaptive Search Method for Genetic Programming
Abstract
Yoichiro Maeda
Paper: pp. 136-147
Computational Intelligence with New Physical Controllability Measure for Robust Control Algorithm of Extension- Cableless Robotic Unicycle
Abstract
V.S. Ulyanov, K. Yamafuji, S.V. Ulyanov and K. Tanaka

No.1

(Feb)

Applications of Soft Computing to Human-centered Information Systems

Applications of Soft Computing to Human-centered Information Systems

Editorial: pp. 1-2
Applications of Soft Computing to Human-centered Information Systems
Takehisa Onisawa, and Sadaaki Miyamoto
Soft computing was advocated by Prof. Zadeh as a total technology complementary to the advantages and disadvantages of fuzzy theory, neural network models, genetic algorithms, and so on - a wide variety of topics covered at scientific conferences, in books, in papers, etc. In human-centered information systems, human beings play a central role in information processing. Human information processing involves uncertainty, fuzziness, ambiguity, subjectivity, etc., be dealt with well by soft computing. Human-centered information processing systems are important fields of soft computing. This special issue was motivated by the editors' research project at the Tsukuba Advanced Research Alliance (TARA), University of Tsukuba. The title of this issue is thus similar to the TARA project title, Soft Computing and Human Centered Information Systems. This special issue comprehensively covers soft computing, including chaos theory, rough sets, multisets, as well as fuzzy theory, neural network models, and genetic algorithms. Human-centered information systems are also covered extensively, e.g., human imperfect information processing, human evaluation/judgment, optimal allocation problems, vehicle systems, and human intelligent information processing. This issue focuses on eight papers: The first, A Semantic-Ambiguity-Free Relational Model for Handling Imperfect Information, by Nakata, focuses on imperfect information without semantic ambiguity from the standpoint that an extension of relational models causes semantic ambiguity. This paper proposes an extended relational model in the framework of fuzzy sets and the theory of possibility. The paper formulates set and relational operations as extended relational algebra in the proposed model. The paper is applicable to human imperfect information processing. The second paper, Fuzzy Clustering for Detecting Linear Structures with Different Dimensions, by Umayahara et al., proposes a new objective function and an algorithm for detecting clusters with different dimensionalities. The proposed algorithm improves conventional approaches for detecting linear varieties with different dimensionali...<more>
Paper: pp. 3-12
A Semantic-Ambiguity-Free Relational Model for Handling Imperfect Information1
Abstract
Michinori Nakata
Paper: pp. 13-20
Fuzzy Clustering for Detecting Linear Structures with Different Dimensions
Abstract
Kazutaka Umayahara, Yoshiteru Nakamori and Sadaaki Miyamoto
Paper: pp. 21-27
An Adaptive Tabu Search (ATS) and Other Metaheuristics for a Class of Optimal Allocation Problems
Abstract
Shigeyuki Takahara and Sadaaki Miyamoto
Paper: pp. 28-35
On Dynamic Clustering Models for 3-way Data
Abstract
Mika Sato-Ilic
Paper: pp. 36-41
A Fuzzy Linear Regression Analysis for Fuzzy Input-Output Data Using the Least Squares Method under Linear Constraints and Its Application to Fuzzy Rating Data
Abstract
Kazuhisa Takemura
Paper: pp. 42-49
Study on Intelligent Vehicle Control Considering Driver Perception of Driving Environment
Abstract
Hiroshi Takahashi and Kouichi Kuroda
Paper: pp. 50-55
Determinism Measurement in Time Series by Chaotic Approach and Its Applications
Abstract
Yasunari Fujimoto and Tadashi Iokibe
Paper: pp. 56-65
Linguistic Expression Generation Model of Subjective Content in a Picture
Abstract
Mitsuru Iwata and Takehisa Onisawa

Vol.2 (1998)

No.6

(Dec)

Special issue on Self-Organization and Adaptation in Intelligent Systems

Special issue on Self-Organization and Adaptation in Intelligent Systems

Editorial: p. 177
Self-Organization and Adaptation in Intelligent Systems
Nikola Kasabov and Robert Kozma
This special issue is devoted to one of the important topics of current intelligent information systems-their ability to adapt to the environment they operate in, as adaptation is one of the most important features of intelligence. Several milestones in the literature on adaptive systems mark the development in this area. The Hebbian learning rule,1) self-organizing maps,2,3) and adaptive resonance theory4) have influenced the research in this area a great deal. Some current development suggests methods for building adaptive neurofuzzy systems,5) and adaptive self-organizing systems based on principles from biological brains.6) The papers in this issue are organized as follows: The first two papers present material on organization and adaptation in the human brain. The third paper, by Kasabov, presents a novel approach to building open structured adaptive systems for on-line adaptation called evolving connectionist systems. The fourth paper by Kawahara and Saito suggests a method for building virtually connected adaptive cell structures. Papers 5 and 6 discuss the use of genetic algorithms and evolutionary computation for optimizing and adapting the structure of an intelligent system. The last two papers suggest methods for adaptive learning of a sequence of data in a feed-forward neural network that has a fixed structure. References: 1) D.O. Hebb, "The Organization of Behavior," Jwiley, New York, (1949). 2) T. Kohonen, "Self-organisation and associative memory," Springer-Verlag, Berlin, (1988). 3) T. Kohonen, "Self-Organizing Maps, second edition," Springer Verlag, (1997). 4) G. Carpenter and S. Grossberg, "Pattern recognition by self-organizing neural networks," The MIT Press, Cambridge, Massachusetts, (1991). 5) N. Kasabov, "Foundations of Neural Networks, Fuzzy Systems and Knowledge Engineering," The MIT Press, CA, MA, (1996). 6) S. Amari and N. Kasabov "Brain-like Computing and Intelligent Information Systems," Springer Verlag, Singapore, (1997).
Paper: pp. 178-184
Self-organization in Cortical Maps & EM-learning
Abstract
Francesco Frisone, Pietro G. Morasso, and Luca Perico
Paper: pp. 185-194
Neuronal and Hemodynamic Events from fMRI Time-Series
Abstract
Jagath C. Rajapakse, Frithjof Kruggel, Stefan Zysset and D. Yves von Cramon
Paper: pp. 195-202
The ECOS Framework and the ECO Learning Method for Evolving Connectionist Systems
Abstract
Nikola Kasabov
Paper: pp. 203-207
An Adaptive Self-Organizing Algorithm with Virtual Connection
Abstract
Shingo Kawahara and Toshimichi Saito
Paper: pp. 208-213
A Novel Penalty Function Approach to Constrained Optimization Problems with Genetic Algorithms
Abstract
Xinghuo Yu, Weixing Zheng, Baolin Wu and Xin Yao
Paper: pp. 214-220
Evolutionary and Heuristic Approaches for the Selection of Neural Network Architectures and Parameters1
Abstract
Tim Whitfort, Chris Matthews, Belinda Choi and John McCullagh
Paper: pp. 221-227
Local Learning Algorithms for Sequential Tasks in Neural Networks
Abstract
Anthony Robins and Marcus Frean
Paper: pp. 228-233
Extending Learning Feasibility Through Feedforward Sequential Learning
Abstract
Michael K. Weir and Li Hui Chen

No.5

(Oct)

Regular papers

Regular Papers

Paper: pp. 151-159
An Intelligent Automatic Surveillance System via Fuzzy Rule Base System and Genetic Algorithms
Abstract
Hyung-Jin Kang, Heejin Lee, Heung-Sik Noh, Jung-Hwan Kim, Dong-Yon Kim, Mignon Park
Paper: pp. 160-163
Placement Time Optimization of Chip Mounter by Genetic Algorithms - Search for Optimal Tape Feeder Arrangement -
Abstract
Takashi Miyajima and Tatsuo Koitabashi
Paper: pp. 164-175
Stable-Optimum Gain Tuning for Designing Mobile Robot Controllers Using Incest Prevented Evolution
Abstract
M.M.A. Hashem, Keigo Watanabe and Kiyotaka Izumi

No.4

(Aug)

Regular papers

Regular Papers

Paper: pp. 121-127
Fuzzy Reasoning with Tunable t-Operators
Abstract
Peter Vojtig
Paper: pp. 128-133
Generation of Fuzzy Rules from Decision Trees
Abstract
Lawrence O. Hall and Petter Lande
Paper: pp. 134-141
RasID - Random Search for Neural Network Training
Abstract
Jinglu Hu, Kotaro Hirasawa and Junichi Murata
Paper: pp. 142-149
Fuzzy Flexible-Flow Shops at Two Machine Centers
Abstract
Tzung-Pei Hong and Wei-Chou Chen

No.3

(Jun)

Special Issue on Intelligent Engineering Systems

Special Issue on Intelligent Engineering Systems

Editorial: pp. 69-71
Intelligent Engineering Systems
Imre J. Rudas
Building intelligent systems has been one of the great challenges since the early days of human culture. From the second half of the 18th century, two revolutionary changes played the key role in technical development, hence in creating engineering and intelligent engineering systems. The industrial revolution was made possible through technical advances, and muscle power was replaced by machine power. The information revolution of our time, in turn, canbe characterized as the replacement of brain power by machine intelligence. The technique used to build engineering systems and replace muscle power can be termed "Hard Automation"1) and deals with industrial processes that are fixed and repetitive in nature. In hard automation, the system configuration and the operations are fixed and cannot be changed without considerable down-time and cost. It can be used, however, particularly in applications calling for fast, accurate operation, when manufacturing large batches of the same product. The "intelligent" area of automation is "Soft Automation," which involves the flexible, intelligent operation of an automated process. In flexible automation, the task is programmable and a work cell must be reconfigured quickly to accommodate a product change. It is particularly suitable for plant environments in which a variety of products is manufactured in small batches. Processes in flexible automation may have unexpected or previously unknown conditions, and would require a certain degree of "machine" intelligence to handle them.The term machine intelligence has been changing with time and is machinespecific, so intelligence in this context still remains more or less a mysterious phenomenon. Following Prof. Lotfi A. Zadeh,2) we consider a system intelligent if it has a high machine intelligence quotient (MIQ). As Prof. Zadeh stated, "MIQ is a measure of intelligence of man-made systems," and can be characterized by its well defined dimensions, such as planning, decision making, problem solving, learning reasoning, natural language understanding, speech recognition, handwriting recognition, pattern recognition, diagnostics, and executio...<more>
Paper: pp. 72-76
Intelligent Control for Container Terminal AGV
Abstract
Masanori Ito and Feifei Zhang
Paper: pp. 77-81
CapRe: a Gaze Tracking System in Man-machine Interaction
Abstract
Christophe Collet, Alain Finkel, and Rachid Gherbi
Paper: pp. 82-87
Some Applications of Soft Computing Methods in System Modeling and Control
Abstract
Bela Lantos
Paper: pp. 88-95
Improved Fuzzy and Neural Network Algorithms for Word Frequency Prediction in Document Filtering
Abstract
Peter Baranyi, Laszlo T. Koczy, and Tamas D. Gedeon
Paper: pp. 96-103
Common-sense Knowledge Representation and Reasoning, and its Application to Face Detection
Abstract
Abbas Z. Kouzani, Fangpo He, Karl Sammut
Paper: pp. 104-110
ViSe2 - An Agent-Based Expert Consulting System with Efficient Cooperation
Abstract
Cheng-Gang Bian, Wen Cao and Gunnar Hartvigsen
Paper: pp. 111-119
Intelligent Computer Methods for Modeling of Manufacturing Processes and Human Intent
Abstract
László Horváth and Imre J. Rudas

No.2

(Apr)

Regular papers

Regular Papers

Paper: pp. 43-46
The Mutate and Spread Metaheuristic
Abstract
Nicolas Abboud and Masatoshi Sakawa
Paper: pp. 47-53
Computing Higher Order Derivatives in Universal Learning Networks
Abstract
Kotaro Hirasawa, Jinglu Hu, Masanao Ohbayashi, and Junichi Murata
Paper: pp. 54-61
Fuzzy Modeling by Occupancy Degree and Optimal Partition of Projection Using Rough Set Theory
Abstract
Youngwan Cho, Kichul Lee and Mignon Park
Paper: pp. 62-67
Fuzzy Inference of Time Adjustment in Multimedia Information Acquisition
Abstract
Kabsuk Oh and Kaoru Hirota

No.1

(Feb)

Special Issue on AI and Law (2)

Special Issue on AI and Law (2)

Editorial: p. 1
AI and Law (2)
Hajime Yoshinoand Katsumi Nitta
In the last issue (Vol.1, No.2), we introduced the Legal Expert System (LES) project led by Hajime Yoshino of Meiji Gakuin University, presenting six papers on the LES project. Those papers were mainly related to higher order reasoning systems such as ase-based reasoning, abductive and inductive logic programming, nonmonotonic reasoning, and analogical reasoning. The objective of the LES project was to develop a legal expert system effective for use by lawyers, so the project covers inference mechanisms, analysis of legal knowledge, and user interfaces. In this second special issue on the LES project, we present five more papers, mainly related to the analysis of legal knowledge, legal knowledge representation language, and legal reasoning system user interfaces. Hajime Yoshino analyzes the logical structure of contract law. To develop a knowledge base for the United Nations Convention on Contracts for the International Sale of Goods (CISG), he proposes a clear logical model of the contract law system, which treats relations between events and legal status such as rights and obligations. Yoshino demonstrates that legal metarules are effective in constructing deductive legal reasoning systems, and are appropriate from the viewpoint of jurisprudence. Seiichiro Sakurai discusses the logical features of the legal knowledge representation language, CPF, developed by Hajime Yoshino. CPF is a logic programming language that enhances the representation of complex data structures. CPF is a convenient tool for representing legal knowledge, yet lawyers often attempt to describe nonexecutable forms of CPF rules.Sakurai introduces a way to construct an executable knowledge base from lawyers' CPF rules. Masato Shibasaki and Katsumi Nitta introduce a new framework to formalize nonmonotonic reasoning with dynamic priorities. The several frameworks proposed thus far to model relationships among arguments do not treat complex arguments, composed of strict rules and default rules. They show that the new framework represents such relationships and analyze these relationships for this framework and others. Takashi Miyata and Yuji Matsumoto int...<more>
Paper: pp. 2-11
Logical Structure of Contract Law System - For Constructing a Knowledge Base of the United Nations Convention on Contracts for the International Sale of Goods -
Abstract
Hajime Yoshino
Paper: pp. 12-15
CPF as a Tool for Constructing a Legal Knowledge Base
Abstract
Seiichiro Sakurai
Paper: pp. 16-25
A Framework for Nonmonotonic Reasoning with Rule Priorities
Abstract
Masato Shibasaki and Katsumi Nitta
Paper: pp. 26-33
Natural Language Generation for Legal Expert System and Visualization of Generation Process
Abstract
Takashi Miyata and Yuji Matsumoto
Paper: pp. 34-42
Flowgraph Editor for Legal Articles
Abstract
Koji Miyagi, Motoki Miura, Jiro Tanaka

Vol.1 (1997)

No.2

(Dec)

Special Issue on AI and Law

Special Issue on AI and Law

Editorial: pp. 81-82
AI and Law
Hajime Yoshino and Katsumi Nitta
Lawyers use a reasoning process known as legal reasoning to solve legal problems. Legal expert systems could potentially help lawyers solve legal problems more quick and adequately, enable students to study law at school or at home more easily, and help legal scholars and professionals analyze the law and legal systems more clearly and precisely.In 1992, Hajime Yoshino of Meiji Gakuin University started a “Legal Expert Systems” project. This “Legal Expert” project is funded by the Japanese Ministry of Education, Science and Culture and is scheduled to run from May 1992 to March 1998. Yoshino organized over 30 lawyers and computer scientists to clarify legal knowledge and develop legal expert systems.This project covers a wide range of technologies such as the analysis of legal knowledge, the analysis of legal rules on international trade (United Nations Convention on Contracts for International Sale of Goods (CISG)), legal knowledge representation, legal inference models, utility programs to develop legal knowledge bases, and user interfaces. This project, which ends in March 1998, will focus on developing comprehensive legal expert systems as the final product. In this issue, we present 12 papers written by “Legal Expert” project members.In this number, Hajime Yoshino gives are overview of the legal expert systems project, explaining its aims, objectives, and organization. Six papers that follow his introduction include three on case-based reasoning. Legal rules are given by ambiguous predicates, making it difficult sometimes to determine whether conditions for rules are satisfied by the facts given of an event. In such cases, lawyers often refer to old cases and generate hypotheses through analogical reasoning.Kaoru Hirota, Hajime Yoshino and Ming Qiang Xu apply fuzzy theory to case-based reasoning. A number of related systems have been developed, but most focus on qualitative similarities between old cases and the current case, and cannot measure quantitative similarities. Hirota et al. treat quantitative similarity by applying fuzzy theory, explaining their method using CISG examples.Ken Satoh developed a way to comput...<more>

Regular Papers

Review: pp. 83-85
"Legal Expert" Project
Abstract
Hajime Yoshino
Paper: pp. 86-93
An Application of Fuzzy Theory to the Case-Based Reasoning of the CISG
Abstract
Kaoru Hirota, Hajime Yoshino, Ming Qiang Xu, Yan Zhu, Xiao Yi Li, Daigo Horie
Paper: pp. 94-103
Statutory Interpretation by Case-Based Reasoning through Abductive Logic Programming
Abstract
Ken Satoh
Paper: pp. 104-113
Attacking Legal Argument by Pointing Out the Incoherence of Interpretation of Statute
Abstract
Yoshiaki Okubo and Makoto Haraguchi
Paper: pp. 114-120
Legal Reasoning Using Abductive Logic Programming
Abstract
Takashi Kanai and Susumu Kunifuji
Paper: pp. 121-129
Reasoning about Dynamic Preferences in Circumscriptive Theory by Logic Programming
Abstract
Toshiko Wakaki, Ken Satoh and Katsumi Nitta
Paper: pp. 130-136
Towards the Systematization of the Japanese Maritime Traffic Law
Abstract
Hiroyuki Matsumoto
Paper: pp. 137-154
Learning and Transfer of Human Real-Time Control Strategies
Abstract
Michael C. Nechyba and Yangsheng Xu
Paper: pp. 155-161
Trajectory Generation for Redundant Manipulator using Virus-Evolutionary Genetic Algorithm with Subpopulations
Abstract
Takemasa Arakawa, Toshio Fukuda and Naoyuki Kubota

No.1

(Oct)

Message from Editors-in-Chief, Greetings from Honorary Editor

Message from Editors-in-Chief, Greetings from Honorary Editor

Message: p. 0
Message from Editors-in-Chief
Toshio Fukuda* and Kaoru Hirota**

Regular Papers

Paper: pp. 1-8
Toward Everyday Language Computing - Computing from a Viewpoint of Linguistic Theory -
Abstract
Ichiro Kobayashi and Michio Sugeno
Paper: pp. 8-9
Vehicle Control Based on Fuzzy Evaluation Knowledge Obtained by Coefficients of the ARMA Model
Abstract
Hiroshi Takahashi
Paper: pp. 14-22
Fuzzy Inference Based Connection Admission Control in ATM Networks
Abstract
Kiyohiko Uehara and Kaoru Hirota
Paper: pp. 23-30
SIRMs (Single Input Rule Modules) Connected Fuzzy Inference Model
Abstract
Naoyoshi Yubazaki, Jianqiang Yi and Kaoru Hirota
Paper: pp. 31-36
An Efficient Method for Extracting Fuzzy Classification Rules from High Dimensional Data
Abstract
Stephen L. Chin
Paper: pp. 37-44
Fuzzy Temporal Methods for Video Multimedia Information Systems
Abstract
Ronald R. Yager
Paper: pp. 45-61
Fuzzy Modeling based Approach to Facial Expressions Understanding
Abstract
Anca Ralescu and Riad Hartani
Paper: pp. 62-70
Mission Planning and Flight Control: Meeting the Challenge with Intelligent Techniques
Abstract