Journals
Mechanical Engineering
Risk Management
Computer Science
Archives
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
![[Scopus]](https://www.fujipress.jp/main/wp-content/themes/Fujipress/images/Scopus_2.jpg)
- 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)
TOPICS
2025-03-19T18:51:03+0000
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 |
|
||
| Shigueo Nomura, Keiji Yamanaka, Osamu Katai, Hiroshi Kawakami, and Takayuki Shiose |
| Paper: | pp. 590-598 | ||
| Competitive Learning with Fast Neuron-Insertion |
|
||
| Noritaka Shigei, Hiromi Miyajima, and Michiharu Maeda |
| Paper: | pp. 599-606 | ||
| Adaptive Vector Quantization with Creation and Reduction Grounded in the Equinumber Principle |
|
||
| Michiharu Maeda,Noritaka Shigei, and Hiromi Miyajima |
| Paper: | pp. 607-614 | ||
| SONIA-Based Decision Neural Network for Preference Assessment with Incomplete Comparisons |
|
||
| Muhammad R. Widyanto, Kazuhiko Kawamoto, Benyamin Kusumoputro, and Kaoru Hirota |
| Paper: | pp. 615-621 | ||
| Improved Debt Rating Model Using Choquet Integral |
|
||
| Toshihiro Kaino, Ken Urata, Shinichi Yoshida, and Kaoru Hirota |
| Paper: | pp. 622-629 | ||
| Evolutionary Optimisation for Obstacle Detection and Avoidance in Mobile Robotics |
|
||
| 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 |
|
||
| Hotaka Takizawa, Nobuo Ezaki, Shinji Mizuno, and Shinji Yamamoto |
| Paper: | pp. 637-642 | ||
| An Interactive System with Facial Expression Recognition |
|
||
| Yuyi Shang, Mie Sato, and Masao Kasuga |
| Paper: | pp. 643-653 | ||
| Adaptive Touch Panel User Interface by Type-Based Approach Using Particle Filters |
|
||
| Norikazu Ikoma, Witold Pedrycz, Takahiro Hyakudome, and Hiroshi Maeda |
| Paper: | pp. 654-660 | ||
| Visual Perception for a Partner Robot Based on Computational Intelligence |
|
||
| Indra Adji Sulistijono, and Naoyuki Kubota |
| Paper: | pp. 661-668 | ||
| Lattice Structure of D, T, and SR Fuzzy Flip-Flops Under Max-Min Logic |
|
||
| Shinichi Yoshida, and Kaoru Hirota |
| Paper: | pp. 669-676 | ||
| Robust Tuning of PID Controller Using Bacterial-Foraging-Based Optimization |
|
||
| Dong Hwa Kim, and Jae Hoon Cho |
| Paper: | pp. 677-683 | ||
| Knowledge Representation of Architectural Design by Using IBIS-FRS System |
|
||
| 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 |
|
||
| 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 |
|
||
| Nazar Elfadil |
| Paper: | pp. 698-707 | ||
| Multiclassification by Double-Negative Aggregation of SVM Membership |
|
||
| 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 |
|
||
| Shin'ya Nagasawa, Sora Yim, and Hitoshi Hongo |
| Paper: | pp. 453-460 | ||
| Statistical Image Analysis of Psychological Projective Drawings |
|
||
| Kazuhisa Takemura, Iyuki Takasaki, and Yumi Iwamitsu |
| Paper: | pp. 461-466 | ||
| Fuzzy Least Squares Regression Analysis for Social Judgment Study |
|
||
| Kazuhisa Takemura |
| Paper: | pp. 467-476 | ||
| Identification of Fuzzy Measures with Distorted Probability Measures |
|
||
| Aoi Honda, and Yoshiaki Okazaki |
| Paper: | pp. 477-483 | ||
| Semiatoms in Choquet Integral Models of Multiattribute Decision Making |
|
||
| Toshiaki Murofushi |
| Paper: | pp. 484-495 | ||
| Some Characterizations of k-Monotonicity Through the Bipolar Möbius Transform in Bi-Capacities |
|
||
| 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 |
|
||
| Jari Kortelainen |
| Paper: | pp. 502-505 | ||
| Properties of Rough Approximations |
|
||
| Jouni Järvinen |
| Paper: | pp. 506-510 | ||
| On Lukasiewicz Modifier Logic |
|
||
| Jorma K. Mattila |
| Paper: | pp. 511-513 | ||
| Level Sets as a Topological Base Applied to Subgroups of a Group of Moebius Transformations |
|
||
| Paavo Kukkurainen |
| Paper: | pp. 514-525 | ||
| Stability Issues with Classifier Using Lukasiewicz Similarity and Modified Schweizer & Sklar Equations |
|
||
| Pasi Luukka, and Jouni Sampo |
| Paper: | pp. 526-533 | ||
| Identification of Numerically Accurate First-Order Takagi-Sugeno Systems with Interpretable Local Models from Data |
|
||
| 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 |
|
||
| Kalle Saastamoinen, and Jaakko Ketola |
| Paper: | pp. 540-548 | ||
| Approximation by Growing Radial Basis Function Networks Using the Differential-Evolution-Based Algorithm |
|
||
| Junhong Liu, and Jouni Lampinen |
| Paper: | pp. 549-555 | ||
| A Comparison of Differential Evolution and Generalized Generation Gap Model |
|
||
| Jani Rönkkönen, Saku Kukkonen, and Jouni Lampinen |
| Paper: | pp. 556-561 | ||
| Case-Based Reasoning in Web Break Sensitivity Evaluation in a Paper Machine |
|
||
| Timo Ahola, and Kauko Leiviskä |
Regular Papers
| Paper: | pp. 563-569 | ||
| Traces of Fuzzy Relations Under Dual Operations |
|
||
| Hiroshi Hashimoto |
| Paper: | pp. 570-575 | ||
| Improving Text Categorization by Multicriteria Feature Selection |
|
||
| 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 |
|
||
| Thomas Losert, Martin Schlager, and Wilfried Elmenreich |
| Paper: | pp. 353-360 | ||
| On the Design and Structure of Artificial Eyes for Tracking Tasks |
|
||
| Markus Vincze |
| Paper: | pp. 361-367 | ||
| Left Ventricle Wall Motion Analysis Using MRI Tagging |
|
||
| 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 |
|
||
| Piotr Jedrzejowicz, and Aleksander Skakovski |
| Paper: | pp. 372-378 | ||
| Utilization of Neural Networks for Error Reduction of Elastomagnetic Sensors |
|
||
| Jozef Vojtko, Irena Kovácová, Ladislav Madarász, and Dobroslav Kovác |
| Paper: | pp. 379-386 | ||
| Fractional-Order Position/Force Robot Control |
|
||
| 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 |
|
||
| Khoder Melhem, Zhaoheng Liu, and Antonio Loría |
| Paper: | pp. 395-398 | ||
| About Fractional Calculus of Singular Lagrangians |
|
||
| Dumitru Baleanu |
| Paper: | pp. 399-408 | ||
| Analogy Based Methodology for Complex Adaptive Production Network Modelling |
|
||
| Béla Pátkai |
| Paper: | pp. 409-414 | ||
| Roby-Go, a Prototype for Cooperating MiroSOT Soccer-Playing Robots |
|
||
| Gregor Novak |
| Paper: | pp. 415-422 | ||
| Human Intent Description in Environment Adaptive Product Model Objects |
|
||
| László Horváth, and Imre J. Rudas |
| Paper: | pp. 423-429 | ||
| Maintenance of Building Blocks in GA Using Symbiotic Evolutionary Viruses |
|
||
| Yoshiaki Sakakura, Noriyuki Taniguchi, Yukinobu Hoshino, and Katsuari Kamei |
| Paper: | pp. 430-436 | ||
| Genetic Network Programming for Automatic Program Generation |
|
||
| 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 |
|
||
| 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 |
|
||
| Masayasu Atsumi |
| Paper: | pp. 244-256 | ||
| A Fully Automated Breast Cancer Recognition System Using Discrete-Gradient Based Clustering and Multi Category Feature Selection |
|
||
| 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 |
|
||
| Tadashi Kondo, Junji Ueno, and Kazuya Kondo |
| Paper: | pp. 268-276 | ||
| Intelligent Control of Autonomous Soccer Robots Compensating for Missing Information |
|
||
| Hikari Fujii, Nobuyuki Kurihara, and Kazuo Yoshida |
| Paper: | pp. 277-281 | ||
| Extraction of Developmentally Important Genes from Microarray Data |
|
||
| 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 |
|
||
| Tetsuyuki Takahama, and Setsuko Sakai |
| Paper: | pp. 290-296 | ||
| Recognizing Odor Mixtures Using Optimized Fuzzy Neural Network Through Genetic Algorithms |
|
||
| 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 |
|
||
| Yukari Yamauchi, and Shun'ichi Tano |
| Paper: | pp. 304-313 | ||
| A New Electronic Dictionary with Meaning Description of Case Frame |
|
||
| Kouhei Shimizu, and Masafumi Hagiwara |
| Paper: | pp. 314-320 | ||
| Applying Multi-Agent Algorithm to a Class Scheduling System |
|
||
| Eiji Nunohiro, and Kenneth J. Mackin |
| Paper: | pp. 321-328 | ||
| Inductive Temporal Formula Specifications for System Verification |
|
||
| 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 |
|
||
| Yos Sunitiyoso, and Shoji Matsumoto |
| Paper: | pp. 337-342 | ||
| Characteristics Analysis of Two-Dimensional Configuration Using Modified Box-Count Method |
|
||
| 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 |
|
||
| Tapio Frantti |
| Paper: | pp. 100-105 | ||
| Self-Tuning Fuzzy Robust Control for Buildings with Sliding Bearing Isolation Under Seismic Excitation |
|
||
| 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 |
|
||
| Kosuke Sekiyama, and Yasuhiro Ohashi |
| Paper: | pp. 114-120 | ||
| Taxonomy of Atomic Actions for Home-Service Robots |
|
||
| 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 |
|
||
| Kairong Zhang, and Masahiro Nagamatu |
| Paper: | pp. 127-133 | ||
| Studies on an Electronic Analog of a Recurrent Neural Network with Retrieval Phase Weight Adaptations |
|
||
| Vishwanathan Mohan, Yashwant V. Joshi, Anand Itagi, and Garipelli Gangadhar |
| Paper: | pp. 134-141 | ||
| Forecasting Electric Load by Support Vector Machines with Genetic Algorithms |
|
||
| 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 |
|
||
| Masato Inoue, and Yoshiyuki Matsuoka |
| Paper: | pp. 150-158 | ||
| Evolutionary Pose Measurement by Stereo Model Matching |
|
||
| Wei Song, Yasushi Mae, and Mamoru Minami |
| Paper: | pp. 159-165 | ||
| Analysis and Simulation of Group Behavior Using a Dynamic Sphere of Influence |
|
||
| Tsuyoshi Taki, and Junichi Hasegawa |
| Paper: | pp. 166-174 | ||
| A Competitive Learning Algorithm with Controlling Maximum Distortion |
|
||
| Takeshi Miura, Kentaro Sano, Kenichi Suzuki, and Tadao Nakamura |
| Paper: | pp. 175-180 | ||
| Fingerprint Matching Algorithm Using String-Based MHC Detector Set |
|
||
| 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 |
|
||
| 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 |
|
||
| Kosuke Yamamoto, Tomohiro Yoshikawa, and Takeshi Furuhashi |
| Paper: | pp. 203-210 | ||
| Strategy Acquisition for Games Based on Simplified Reinforcement Learning Using a Strategy Network |
|
||
| Masaaki Kanakubo, and Masafumi Hagiwara |
| Paper: | pp. 211-222 | ||
| Integrated Intelligence Control Based on Fuzzy and AI for Reheating Furnace |
|
||
| 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 |
|
||
| Ramon Brena, and Hector G. Ceballos |
| Paper: | pp. 13-17 | ||
| Fuzzy Querying of Evolutive Situations: Application to Driving Situations |
|
||
| Sabiha Ould Yahia, and Sophie Loriette-Rougegrez |
| Paper: | pp. 18-22 | ||
| Remembering What You Forget in an Online Shopping Context |
|
||
| Martin Halvey, and Mark T. Keane |
| Paper: | pp. 23-30 | ||
| Reinforcement Learning for Online Industrial Process Control |
|
||
| 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 |
|
||
| Claude St-Jacques, and Louis-Claude Paquin |
| Paper: | pp. 39-45 | ||
| Towards Context-Aware Knowledge Management in e-Enterprises |
|
||
| Weihong Huang |
| Paper: | pp. 46-52 | ||
| Block-Based Change Detection in the Presence of Ambient Illumination Variations |
|
||
| Theodoros Alexandropoulos, Vassili Loumos, and Eleftherios Kayafas |
| Paper: | pp. 53-60 | ||
| Combining Argumentation and Web Search Technology: Towards a Qualitative Approach for Ranking Results |
|
||
| Carlos Iván Chesñevar, and Ana Gabriela Maguitman |
| Paper: | pp. 61-64 | ||
| Modified Axiomatic Basis of Subjective Probability |
|
||
| Kiril Tenekedjiev, Anastas Krushev, and Natalia Nikolova |
| Paper: | pp. 65-69 | ||
| Fuzzy Rationality in Quantitative Decision Analysis |
|
||
| 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 |
|
||
| Yutaka Hata, Syoji Kobashi, Katsuya Kondo, and Tomoharu Nakano |
| Paper: | pp. 80-88 | ||
| Fractal Image Coding with Simulated Annealing Search |
|
||
| 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 |
|
||
| Hidetomo Ichihashi, and Katsuhiro Honda |
| Paper: | pp. 573-581 | ||
| A Fast Dynamic Full-Text Search Method Using Efficient Block Management Structure |
|
||
| Masao Fuketa, El-Sayed Atlam, Elmarhomy Ghada, and Jun-ichi Aoe |
| Paper: | pp. 582-590 | ||
| Accelerated Genetic Programming for Intelligent Fuzzy Robots |
|
||
| 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 |
|
||
| Pasi Luukka, and Jouni Sampo |
| Paper: | pp. 599-605 | ||
| Comparison of Linguistic and Regular Hard C-Means in Postoperative Patient Data |
|
||
| Sansanee Auephanwiriyakul, and Nipon Theera-Umpon |
| Paper: | pp. 606-612 | ||
| Leeway Prediction of Oceanic Disastrous Target via Support Vector Regression |
|
||
| 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 |
|
||
| 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 |
|
||
| 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 |
|
||
| 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 |
|
||
| 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 |
|
||
| 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 |
|
||
| Gideon Avigad, Amiram Moshaiov, and Neima Brauner |
| Paper: | pp. 460-468 | ||
| Translated Multiplicative Neuron: An Extended Multiplicative Neuron that can Translate Decision Surfaces |
|
||
| Eduardo Masato Iyoda, Hajime Nobuhara, and Kaoru Hirota |
| Paper: | pp. 469-476 | ||
| Motion-Based Template Matching for Obstacle Detection |
|
||
| Kazuhiko Kawamoto, Naoya Ohnishi, Atsushi Imiya, Reinhard Klette, and Kaoru Hirota |
| Paper: | pp. 477-481 | ||
| Learning from Examples and Comparing Models of Human Motion |
|
||
| Marek Kulbacki, Bartosz Jablonski, Ryszard Klempous, and Jakub Segen |
| Paper: | pp. 482-487 | ||
| Microstatistic Multi-User Detection Receiver |
|
||
| Dusan Kocur, Jana Cízová, and Stanislav Marchevský |
| Paper: | pp. 488-494 | ||
| Anytime System Scheduler for Insufficient Resource Availability |
|
||
| Annamária R. Várkonyi-Kóczy, and Gábor Samu |
| Paper: | pp. 495-498 | ||
| Energy-Conservative Algorithm for the Numerical Solution of Initial-Value Hamiltonian System Problems |
|
||
| Edit Miletics |
| Paper: | pp. 499-506 | ||
| Development of Fuzzy Controllers with Dynamics Regarding Stability Conditions and Sensitivity Analysis |
|
||
| Radu-Emil Precup, Stefan Preitl, and Péter Korondi |
| Paper: | pp. 507-513 | ||
| Evolutionary Design of Combinational Logic Circuits |
|
||
| 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 |
|
||
| 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 |
|
||
| József Sziray |
| Paper: | pp. 530-534 | ||
| New Method of Program Selection in Digital TV Receivers and its Evaluation by Users |
|
||
| Petr Weissar, Jiri Pinker, Miloslava Hrichova, and Jaroslav Firt |
| Paper: | pp. 535-543 | ||
| Kalman-Filter Based Control and Performance Monitoring Systems |
|
||
| Attila L. Bencsik |
| Paper: | pp. 544-552 | ||
| Possibilities for Application of Associative Objects with Built-in Intelligence in Engineering Modeling |
|
||
| László Horváth, and Imre J. Rudas |
| Paper: | pp. 553-561 | ||
| Sliding Mode Robot Control with Friction and Payload Estimation |
|
||
| 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 |
|
||
| Masaki Inoue, and Seiji Yasunobu |
| Paper: | pp. 356-361 | ||
| Co-Evolution of Fuzzy Controller for the Mobile Robot Control |
|
||
| 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 |
|
||
| Jin-Shig Kang |
| Paper: | pp. 369-372 | ||
| Design and Analysis of Probe Detection Systems for TCP Networks |
|
||
| 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 |
|
||
| Hajime Nobuhara, and Kaoru Hirota |
| Paper: | pp. 379-384 | ||
| Fuzzy Aggregation Method Using Fisherface and Wavelet Decomposition for Face Recognition |
|
||
| 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 |
|
||
| Kwang-Baek Kim, and Dae-Su Kim |
| Paper: | pp. 390-396 | ||
| Intelligent Logo Watermarking Based on Independent Component Analysis |
|
||
| Thai Duy Hien, Zensho Nakao, and Yen-Wei Chen |
| Paper: | pp. 397-402 | ||
| Simultaneous Application of Fuzzy Clustering and Quantification with Incomplete Categorical Data |
|
||
| Katsuhiro Honda, Yoshihito Nakamura, and Hidetomo Ichihashi |
| Paper: | pp. 403-409 | ||
| Safe Mobility System Cooperating with Human in Collaboration with Cyber City |
|
||
| Toru Yamaguchi, Jun Kawakatsu, Jianping Jing, Ryuji Kurosaki, and Fumio Harashima |
| Paper: | pp. 410-414 | ||
| Expert-Knowledge Gating Mechanism in the Hierarchical Modular System |
|
||
| Jeong-Yon Shim |
| Paper: | pp. 415-420 | ||
| A Study on Supplier Evaluation and Selection Method Based on Dependence |
|
||
| Jong-Moon Ju, and Seung-Gook Hwang |
| Paper: | pp. 421-425 | ||
| A Proposal of GA Using Symbiotic Evolutionary Viruses and its Virus Evaluation Techniques |
|
||
| 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 |
|
||
| 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 |
|
||
| 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 |
|
||
| Minoru Mukuda, YoungSu Yun, and Mitsuo Gen |
| Paper: | pp. 442-450 | ||
| A Fuzzy Approach for Modelling the Effects of Noise Pollution on Human Performance |
|
||
| 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 |
|
||
| 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 |
|
||
| 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 |
|
||
| Toshihiro Kaino, and Kaoru Hirota |
| Paper: | pp. 260-268 | ||
| Intelligent Control of a Miniature Climbing Robot |
|
||
| Jizhong Xiao, Jun Xiao, and Ning Xi |
| Paper: | pp. 269-274 | ||
| Incorporating Motivation in a Hybrid Robot Architecture |
|
||
| Alexander Stoytchev, and Ronald C. Arkin |
| Paper: | pp. 275-283 | ||
| Intelligent Scaling Control for Internet-Based Teleoperation |
|
||
| 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 |
|
||
| Wai-keung Fung, and Yun-hui Liu |
| Paper: | pp. 295-301 | ||
| Trajectory Planning of Mobile Robots Using DNA Computing |
|
||
| Kazuo Kiguchi, Keigo Watanabe, and Toshio Fukuda |
| Paper: | pp. 302-312 | ||
| Computational Intelligence for Modeling Human Sensations in Virtual Environments |
|
||
| Ka Keung Lee, and Yangsheng Xu |
| Paper: | pp. 313-323 | ||
| Intelligent Sensor Fusion in Robotic Prosthetic Eye System |
|
||
| 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 |
|
||
| Dong Sun, Y. X. Su, and James K. Mills |
| Paper: | pp. 332-335 | ||
| Novel Approach to Decision-Tree Construction |
|
||
| 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 |
|
||
| 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 |
|
||
| Takio Kurita |
| Review: | pp. 93-99 | ||
| Bayesian Network: Probabilistic Reasoning, Statistical Learning, and Applications |
|
||
| Yoichi Motomura |
| Paper: | pp. 100-107 | ||
| Operation of Spatiotemporal Patterns Stored in Living Neuronal Networks Cultured on a Microelectrode Array |
|
||
| Suguru N. Kudoh, and Takahisa Taguchi |
| Paper: | pp. 108-114 | ||
| Rapid Discriminative Learning |
|
||
| Jun Rokui |
| Paper: | pp. 115-120 | ||
| Robust Fuzzy Clustering Based on Similarity between Data |
|
||
| Kohei Inoue, and Kiichi Urahama |
| Paper: | pp. 121-129 | ||
| A Growing Neural Network for Online Unsupervised Learning |
|
||
| Shen Furao, and Osamu Hasegawa |
| Paper: | pp. 130-139 | ||
| A View-Invariant Face Detection Method Based on Local PCA Cells |
|
||
| Kazuhiro Hotta |
| Paper: | pp. 140-149 | ||
| Pointing Device Based on Estimation of Trajectory and Shape of a Human Hand in a Monocular Image Sequence |
|
||
| Satoru Odo, and Kiyoshi Hoshino |
| Paper: | pp. 150-155 | ||
| Human Limb Extraction Based on Motion Estimation Using Optical Flow and Image Registration |
|
||
| Toru Tamaki |
| Paper: | pp. 156-167 | ||
| Tool Operation Recognition Based on Robust Optical Flow and HMM from Short-Time Sequential Image Data |
|
||
| Hidetomo Sakaino, Yutaka Yanagisawa, and Tetsuji Satoh |
| Paper: | pp. 168-180 | ||
| Extraction of Motion Characteristics Corresponding to Sensitivity Information Using Dance Movement |
|
||
| 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 |
|
||
| 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 |
|
||
| Masaru Tsuchida, Takahito Kawanishi, Hiroshi Murase, and Shigeru Takagi |
| Paper: | pp. 200-207 | ||
| Printed Japanese Character Recognition Using Multiple Commercial OCRs |
|
||
| Hidetoshi Miyao, Yasuaki Nakano, Atsuhiko Tani, Hirosato Tabaru, and Toshihiro Hananoi |
| Paper: | pp. 208-215 | ||
| Stave Extraction for Printed Music Scores Using DP Matching |
|
||
| Hidetoshi Miyao, and Masayuki Okamoto |
| Paper: | pp. 216-222 | ||
| Classification of Remotely Sensed Images Using Independent Component Analysis and Spatial Consistency |
|
||
| Xiang-Yan Zeng, Yen-Wei Chen, and Zensho Nakao |
| Paper: | pp. 223-230 | ||
| Behavior Learning and Animation Synthesis of Falling Flat Objects |
|
||
| 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 |
|
||
| Chang-Hyun Jo |
| Paper: | pp. 7-13 | ||
| Integration of Distributed Robotic Systems |
|
||
| 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 |
|
||
| 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 |
|
||
| Raymond R. Tan, Alvin B. Culaba, and Michael R. I. Purvis |
| Paper: | pp. 29-38 | ||
| Dynamic Color Object Recognition Using Fuzzy Logic |
|
||
| Napoleon H. Reyes and Elmer P. Dadios |
| Paper: | pp. 39-44 | ||
| An Optical Coordinate Measuring Machine for Nanoscale Dimensional Metrology |
|
||
| Eric Kirkland, Thomas R. Kurfess, and Steven Y. Liang |
| Paper: | pp. 45-55 | ||
| Humanoid Robot HanSaRam: Recent Progress and Developments |
|
||
| 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 |
|
||
| Teddy N. Yap, Jr. and Arnulfo P. Azcarraga |
| Paper: | pp. 65-71 | ||
| Hybrid Fuzzy Logic Strategy for Soccer Robot Game |
|
||
| 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 |
|
||
| 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 |
|
||
| 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 |
|
||
| Takahiko Ishikawa, Kiyoshi Akama, and Hiroshi Mabuchi |
| Paper: | pp. 268-275 | ||
| Modeling and Analysis of Genetic Algorithms Based on the Viewpoint of Mixture Systems |
|
||
| Jun-ichi Imai, Hiroyuki Shioya, and Masahito Kurihara |
| Paper: | pp. 276-282 | ||
| Analysis of a Method Improving Reinforcement Learning Agents’ Policies |
|
||
| Daisuke Kitakoshi, Hiroyuki Shioya, and Masahito Kurihara |
| Paper: | pp. 283-288 | ||
| A Recursively Axiomatizable Subsystem of Levesque’s Logic of Only Knowing |
|
||
| Ho Ngoc Duc |
| Paper: | pp. 289-293 | ||
| Real Time Adaptive Color Segmentation for Mars Landing Site Identification |
|
||
| Tuan A. Duong and Vu A. Duong |
| Paper: | pp. 294-305 | ||
| The Fuzzy Description Logic ALCFH with Hedge Algebras as Concept Modifiers |
|
||
| Steffen Hölldobler, Hans-Peter Störr, and Tran Dinh Khang |
| Paper: | pp. 306-314 | ||
| Integration of Syntactic Analysis and Semantic Interpretation Based on Equivalent Transformation |
|
||
| Hiroshi Mabuchi, Kiyoshi Akama, Takahiko Ishikawa, and Hidekatsu Koike |
| Paper: | pp. 315-321 | ||
| Reordering Adaptive Directed Acyclic Graphs for Multiclass Support Vector Machines |
|
||
| Thimaporn Phetkaew, Wanchai Rivepiboon, and Boonserm Kijsirikul |
| Paper: | pp. 322-329 | ||
| Hybrid Probabilistic Models of Fuzzy and Rough Events |
|
||
| Rolly Intan, Masao Mukaidono, and Hung T. Nguyen |
| Paper: | pp. 330-338 | ||
| Intelligent Control of Nonlinear Dynamic Systems Using Immune Fuzzy Fusion |
|
||
| Dong Hwa Kim |
| Paper: | pp. 339-347 | ||
| Fuzzy Modeling for Modifying Standard Prescriptions of Oriental Traditional Medicine |
|
||
| Nguyen Hoang Phuong, Pratit Santiprabhob, and Kaoru Hirota |
| Paper: | pp. 348-354 | ||
| Temporal Abstraction for Long-Term Test Changes in the Hepatitis Domain |
|
||
| 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 |
|
||
| Ruck Thawonmas, Makoto Iwata, and Satoshi Fukunaga |
| Paper: | pp. 362-369 | ||
| Fuzzy Inference Methods Employing T-norm with Threshold and Their Implementation |
|
||
| 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 |
|
||
| Makoto Yasuda, Takeshi Furuhashi, and Shigeru Okuma |
| Paper: | pp. 377-385 | ||
| New Error Diffusion Using Fuzzy Threshold Control |
|
||
| 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 |
|
||
| Jorma K. Mattila |
| Paper: | pp. 79-85 | ||
| Cardinal-Probabilistic Interaction Indices and their Applications: A Survey |
|
||
| Katsushige Fujimoto |
| Paper: | pp. 86-91 | ||
| Adaptive Fuzzy Control for a SISO Nonlinear System |
|
||
| Hugang Han, and Shuta Murakami |
| Paper: | pp. 92-100 | ||
| Adaptive Fuzzy Control of One Linear Actuator Hopping Robot |
|
||
| Son Kuswadi, Mitsuji Sampei, and Shigeki Nakaura |
| Paper: | pp. 101-107 | ||
| Response Control of Variable Stiffness Structure Using Electromagnetic Clutch |
|
||
| Toshihiro Irie, Kiyoshi Shingu, Keita Kitamura, and Yoshihiro Takagi |
| Paper: | pp. 108-114 | ||
| A Study on a Foraging Behavior of Interacting Simple Robots |
|
||
| Ken Sugawara, Masaki Sano, and Toshinori Watanabe |
| Paper: | pp. 115-123 | ||
| Obstacle Avoidance for Quadruped Robots Using a Neural Network |
|
||
| 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 |
|
||
| Toru Nakata |
| Paper: | pp. 130-138 | ||
| Psychological and Social Effects of Robot-assisted Activity in the Elderly Robot-assisted at Health Service Facilities |
|
||
| 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 |
|
||
| Jun Lu, and Hiroshi Ohta |
| Paper: | pp. 147-152 | ||
| Electricity Demand and Price Analysis in California Using Possibility Regression Model |
|
||
| Osamu Hirano, Masayasu Kanke, and Kazuhiro Ozawa |
| Paper: | pp. 153-159 | ||
| Fuzzy Microaggregation for Microdata Protection |
|
||
| Josep Domingo-Ferrer, and Vicenç Torra |
| Paper: | pp. 160-168 | ||
| Fuzzy Information Granules: a Compact, Transparent and Efficient Representation |
|
||
| 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- |
|
||
| Shoji Hirano and Shusaku Tsumoto |
| Paper: | pp. 178-188 | ||
| Synergetic Stereo Matching Algorithm for Occlusion and Reversal Position |
|
||
| 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 |
|
||
| 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 |
|
||
| Backjin Lee, Akimasa Fujiwara, Yoriyasu Sugie, and Moon Namgung |
| Paper: | pp. 207-214 | ||
| Fuzzy Traffic Controller in Ramp Metering of Urban Expressway |
|
||
| Masashi Okushima, Yoshiharu Takihi, and Takamasa Akiyama |
| Paper: | pp. 215-222 | ||
| A New Communication Method Using Natural Language as a Computer Communication Protocol |
|
||
| 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 |
|
||
| 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 |
|
||
| Masashi Emoto and Masao Mukaidono |
| Paper: | pp. 235-243 | ||
| High-quality Multi-level Error Diffusion Method Employing Fuzzy Inference |
|
||
| 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 |
|
||
| Masanori Tajima, Takayuki Kawabata, Tomoe Tomiyama, and Tomohiro Takagi |
| Paper: | pp. 6-9 | ||
| Effective Use of Learning Knowledge by FEERL |
|
||
| Yukinobu Hoshino and Katsuari Kamei |
| Paper: | pp. 10-18 | ||
| Acquisition of Knowledge for Gymnastic Bar Action by Active Learning Method |
|
||
| Yoshitaka Sakurai, Nakaji Honda, and Junji Nishino |
| Paper: | pp. 19-24 | ||
| Algorithms of Hard c-Means Clustering Using Kernel Functions in Support Vector Machines |
|
||
| Sadaaki Miyamoto and Youichi Nakayama |
| Paper: | pp. 25-30 | ||
| Fuzzy c-Means Clustering Using Kernel Functions in Support Vector Machines |
|
||
| Sadaaki Miyamoto and Daisuke Suizu |
| Paper: | pp. 31-39 | ||
| A Fuzzy Inference System for Identifying Tissue Elasticity Using Ultrasound |
|
||
| 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 |
|
||
| Yosuke Dendo and Katsuari Kamei |
| Paper: | pp. 47-52 | ||
| Fuzzy Three-valued Switching Functions Using Choquet Integral |
|
||
| Eiichiro Takahagi |
| Paper: | pp. 53-67 | ||
| GMP Based Fuzzy Reasoning: An Application to Sonar Based Navigation |
|
||
| 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 |
|
||
| Zakarya Zyada, Yasuhisa Hasegawa and Toshio Fukuda |
| Paper: | pp. 109-114 | ||
| State Feedback Stabilization in Nonlinear Time-Delay Systems |
|
||
| Tsuyoshi Hori and Kazuo Tanaka |
| Paper: | pp. 116-125 | ||
| A Method for Recognizing and Separating Trademark Image Outer Frames |
|
||
| Koji Abe, Haruhiko Kimura, Hideo Nagashima and Taki Kanda |
| Paper: | pp. 126-134 | ||
| Sigma-Pi Cascade Extended Hybrid Neural Network |
|
||
| 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 |
|
||
| 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 |
|
||
| László Nádai |
| Paper: | pp. 79-83 | ||
| Contribution to Creation of Complex System Macrosituations |
|
||
| Eva Ocelíková and Ladislav Madarász |
| Paper: | pp. 84-92 | ||
| Online Neofuzzy Neuron Flux Observer for Induction Motor Drives |
|
||
| 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 |
|
||
| 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 |
|
||
| 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 |
|
||
| Busaba Phruksaphanrat and Ario Ohsato |
| Paper: | pp. 19-24 | ||
| Reinforcement Leaning of Fuzzy Control Rules with Context-Specitic Segmentation of Actions |
|
||
| Hideki Yamagishi, Hiroshi Kawakami, Tadashi Horiuchi, and Osamu Katai |
| Paper: | pp. 25-32 | ||
| Leaning Causal Models with Conditional Causal Probabilities from Data |
|
||
| Koichi Yamada |
| Paper: | pp. 33-40 | ||
| Approximate Data Querying in Fuzzy Relational Database |
|
||
| Rolly Intan, and Masao Mukaidono |
| Paper: | pp. 41-50 | ||
| Developing Case-based Reasoning System for Medical Consultation Using the Importance of Features |
|
||
| Nguyen Hoang Phuong, Nguyen Ba Tu and Ario Ohsato |
| Paper: | pp. 51-55 | ||
| Difference in Areas of the Brain for Fuzzy and Crisp Calculation |
|
||
| Takahiro Yamanoi, Masaaki Saito, Michio Sugeno and EIie Sanchez |
| Paper: | pp. 56-61 | ||
| Decentralized Robust Fuzzy Sliding Mode Control Design of Interconnected Uncertain System |
|
||
| Thai Quang Vinh, and Kaoru Hirota |
| Paper: | pp. 62-69 | ||
| Application of Fuzzy Mathematical Morphology with Adaptive Structuring Elements to Seal Defect Testing |
|
||
| 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 |
|
||
| Jose Aguilar, Mariela Cerrad and Katiuska Morillo |
| Paper: | pp. 315-325 | ||
| Fuzzy Difference Equations: The Initial Value Problem |
|
||
| James J. Buckley, Thomas Feuring and Yoichi Hayashi |
| Paper: | pp. 326-332 | ||
| Toward a Bioinspired Fusion of Color and Infrared Textural Image Information |
|
||
| 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 |
|
||
| Takahiro Kobayashi and Tetsuji Tani |
| Paper: | pp. 338-345 | ||
| Tracking Control of Variable Structure System Using Variable Boundary Layer |
|
||
| 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 |
|
||
| István Harmati, Ma Lantos and Shahram Payandeh |
| Paper: | pp. 257-262 | ||
| Symplectic Geometry Based Simple Algebraic Possibilities for Developing Adaptive Control for Mechanical Systems |
|
||
| 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 |
|
||
| Bojan Nemec and Leon Zlajpah Institute Jozef Stefan |
| Paper: | pp. 269-278 | ||
| Virtual Technology Based Associative Integration of Modeling of Mechanical Parts |
|
||
| László Horváth and Imre J. Rudas |
| Paper: | pp. 279-285 | ||
| Implementing Discrete-time Fractional-order Controllers |
|
||
| J. A. Tenreiro Machado |
| Paper: | pp. 286-293 | ||
| A HiLog Journey from a Classical Dictionary to Hypertext Structure (via the Grammar, of course) |
|
||
| Mirko Cubrilo, Alen Lovrencic, and Mirko Malekovic |
| Paper: | pp. 294-299 | ||
| Human Versus Robotic Shoulder Motion |
|
||
| Nives Klopw and Jadran Lenarcic |
| Paper: | pp. 300-305 | ||
| Results of Bias-variance Tests on Multi-layer Perceptron Neural Networks |
|
||
| 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 |
|
||
| Nikola Kasabov, Jaesoo Kim, Robert Kozma and Tico Cohen |
| Paper: | pp. 201-212 | ||
| Multiagent Architecture Combined with a Multicontract Protocol for FMS Control |
|
||
| 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 |
|
||
| 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 |
|
||
| Shigeyasu Kawaji and Yuehui Chen |
| Paper: | pp. 229-238 | ||
| Evolving Basis Function Networks for System Identification |
|
||
| Yuehui Chen and Shigeyasu Kawaji |
| Paper: | pp. 239-245 | ||
| A Fuzzy CDS-based Scheduling Algorithm for More Than Two Machine Centers |
|
||
| 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 |
|
||
| 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 |
|
||
| 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 |
|
||
| Nhu Nguyen, Hung T. Nguyen, Berlin Wu, Vladik Kreinovich |
| Paper: | pp. 157-162 | ||
| Application of SOM-Based Fuzzy Systems in Voltage Security Margin Estimation |
|
||
| 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 |
|
||
| Shyue-Liang Wang, Tzung-Pei Hong, and Wen-Yang Lin |
| Paper: | pp. 172-179 | ||
| Application of Adaptive Fuzzy Sliding Mode Control for Bridges |
|
||
| Ken Yeh and Wei-Ling Chiang |
| Paper: | pp. 180-188 | ||
| An Adaptive Fuzzy Clustering Technique for Traffic Prediction of Packet-switched Networks |
|
||
| 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 |
|
||
| 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 |
|
||
| Hajime Nobuhara, Yasufumi Takama and Kaoru Hirota |
| Paper: | pp. 99-109 | ||
| Fuzzification of Kolmogorov Theorem |
|
||
| Angel López-Gótnez and Kaoru Hirota |
| Paper: | pp. 110-118 | ||
| Approximate Reasoning for Processing Uncertainty |
|
||
| Hamid Seridi and Herman Akdag |
| Paper: | pp. 119-124 | ||
| Intelligent Consultant |
|
||
| 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 |
|
||
| Annamária R. Várkonyi-Kóczy, Tamás Kovácsházy, Orsolya Takács, and Csaba Benedescik |
| Paper: | pp. 8-14 | ||
| Evolutionary Nonlinear Multimodel Partitioning Filters |
|
||
| 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 |
|
||
| Anna Esposito, Eugene C. Ezin and Carlos A. Reyes-Garcia |
| Paper: | pp. 22-30 | ||
| Inference Algorithm Independent SVD Fuzzy Rule Base Complexity Reduction |
|
||
| 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 |
|
||
| Giovanni Pilato, Filippo Sorbello and Giorgio Vassallo |
| Paper: | pp. 37-43 | ||
| Rank-Based Multiple Classifier Decision Combination: A Theoretical Study |
|
||
| Afsar Saranli and Mubeccel Demirekler |
| Paper: | pp. 44-50 | ||
| Information Processing Based on Mixed - Classical and Fuzzy - Data Models |
|
||
| Orsolya Takács and Annamária R. Várkonyi-Kóczy |
| Paper: | pp. 51-57 | ||
| Optimizing and Learning Algorithm for Feed-forward Neural Networks |
|
||
| 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 |
|
||
| 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 |
|
||
| 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 |
|
||
| M. Shamim Khan, Alex Chong, and Tom Gedeon |
| Paper: | pp. 408-411 | ||
| Fuzzy Control of Back-Propagation Training |
|
||
| Michael Negnevitsky and Martin J. Ringrose |
| Paper: | pp. 412-416 | ||
| Indexing Visual Features Using a Hybrid Neural Network |
|
||
| Jesse S. Jin, Henry C. Wang and Tom Gedeon |
| Paper: | pp. 417-420 | ||
| Improving the Approximation Smoothness of Radial Basis Neural Networks |
|
||
| Anthony Little and Leonid Reznik |
| Paper: | pp. 421-427 | ||
| Implementation of Fuzzy Legal Expert System FLES |
|
||
| Kaoru Hirota, MingQiang Xu, Yasufumi Takama and Hajime Yoshino |
| Paper: | pp. 428-436 | ||
| Kansei Information Processing in Multimedia Applying Intelligent Soft Computing Techniques |
|
||
| Takehisa Onisawa |
| Paper: | pp. 437-442 | ||
| Robotic System based on Computational Intelligence - Evolutionary Generation of Regrasping Motion |
|
||
| Toshio Fukuda, Yasuhisa Hasegawa |
| Paper: | pp. 443-449 | ||
| Deep Fusion of Computational and Symbolic Intelligent Processing by Symbol Emergence |
|
||
| Shun’ichi Tano |
| Paper: | pp. 450-456 | ||
| Image Retrieval using Conceptual Fuzzy Sets |
|
||
| Tomohiro Takagi, Kazushi Kawase and Kazuhiko Otsuka |
| Paper: | pp. 457-463 | ||
| Topic-based Intelligent Support System for Information Retrieval |
|
||
| 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 |
|
||
| Byung-Jae Choi, Seong-Woo Kwak, Byung Kook Kim |
| Paper: | pp. 327-335 | ||
| IRIS Data Classification Using Tolerant Rough Sets1 |
|
||
| Daijin Kim, Sung-Yang Bang |
| Paper: | pp. 336-340 | ||
| Dynamic Multidimensional Wavelet Neural Network and Its Application |
|
||
| 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 |
|
||
| Dong Hwa Kim and Chang Kee Jung |
| Paper: | pp. 349-354 | ||
| Self-Learning Fuzzy Logic Controller using Q-Learning |
|
||
| 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 |
|
||
| 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 |
|
||
| Seihwan Park and Hyung Lee-Kwang |
| Paper: | pp. 368-372 | ||
| Design of Diagnosis System for Insulation Degradation by Using Neurofuzzy Model |
|
||
| Yigon Kim, Yang Hee Jung and Yong Chul Bae |
| Paper: | pp. 373-379 | ||
| Rule Reduction and Robust Control of Generalized Takagi-Sugeno Fuzzy Systems |
|
||
| Tadanari Taniguchi and Kazuo Tanaka |
| Paper: | pp. 380-386 | ||
| Fuzzy Flip-Flops and their Applications to Fuzzy Memory Element and Circuit Design using FPGA |
|
||
| 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 |
|
||
| 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 |
|
||
| Norbert Kopco, Peter Sincak and Stanislav Kaleta |
| Paper: | pp. 246-250 | ||
| Similarity Relations in Diagnosis Fuzzy Systems |
|
||
| Ján Vascák and Ladislav Madarász |
| Paper: | pp. 251-257 | ||
| System Architecture for Support of Knowledge Management |
|
||
| Marek Paralic, Tomás Sabol and Marian Mach |
| Paper: | pp. 258-262 | ||
| Cluster Analysis as a First Step in the Knowledge Discovery Process |
|
||
| Andreas Rauber and Jan Paralic |
| Paper: | pp. 263-267 | ||
| Approach to Scheduling Problem Solution in Production Systems Using the Multiagent System |
|
||
| Frankoviè, B., Labátová S. and Budinská, I. |
| Paper: | pp. 268-278 | ||
| Emerging Intelligent Technologies in Computer-Aided Engineering |
|
||
| 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 |
|
||
| József K. Tar, Imre J. Rudas, Ladislav Madarász and János F. Bitó |
| Paper: | pp. 286-293 | ||
| Complexity Minimalization of Nonsingleton-based Fuzzy-Neural Network |
|
||
| Kin-fong Lei, Péter Baranyi and Yeung Yam |
| Paper: | pp. 294-301 | ||
| Learning M-of-N Concepts for Medical Diagnosis Using Neural Networks |
|
||
| 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 |
|
||
| 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 |
|
||
| Kazuhiro Ozawa, ’Takahide Niimura and Tomoaki Nakashima |
| Paper: | pp. 195-199 | ||
| Application of Fuzzy Control to a Riderless Bicycle |
|
||
| Gérard Lachiver and Saïd Berriah |
| Paper: | pp. 200-205 | ||
| Neural Network Based Power Flow Predictor |
|
||
| S. Madan and K. E. Bollinger |
| Paper: | pp. 206-211 | ||
| Classification of Volumetric Storm Cell Patterns |
|
||
| 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 |
|
||
| 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 |
|
||
| 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 |
|
||
| Hongxing He, Simon Hawkins, Warwick Graco and Xin Yao |
| Paper: | pp. 138-145 | ||
| Pattern and Feature Selection by Genetic Algorithms in Nearest Neighbor Classification |
|
||
| Hisao Ishibuchi and Tomoharu Nakashima |
| Paper: | pp. 146-151 | ||
| A Reinforcement Learning Scheme of Fuzzy Rules with Reduced Conditions |
|
||
| 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 |
|
||
| Kanta Tachibana and Takeshi Furuhashi |
| Paper: | pp. 158-163 | ||
| Multiple Lagrange Multiplier Method for Constrained Evolutionary Optimization |
|
||
| Hyun Myung and Jong-Hwan Kim |
| Paper: | pp. 164-170 | ||
| An Adaptive Penalty Function Method for Constrained Optimization with Evolutionary Programming |
|
||
| Xinghuo Yu and Baolin Wu |
| Paper: | pp. 171-176 | ||
| Knowledge Based Automated Boundary Detection for Qualifying of LV Function in Low Contrast Angiographic Images |
|
||
| 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 |
|
||
| 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 |
|
||
| Masahiro Tanaka and Hideki Fujiwara |
| Paper: | pp. 12-17 | ||
| Fast Neuro-Classification of New and Used Bills Using Spectral Patterns of Acoustic Data |
|
||
| Dongshik Kang, Sigeru Omatu and Michifumi Yoshioka |
| Paper: | pp. 18-23 | ||
| Neuro-Classification of Currency Fatigue Levels Based on Acoustic Cepstrum Patterns |
|
||
| Masaru Teranishi, sigeru Omatu and Toshihisa Kosaka |
| Paper: | pp. 24-30 | ||
| A Rule Discovery by Fuzzy Classifier System Utilizing Symbolic Information |
|
||
| 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 |
|
||
| Ilona Jagielska |
| Paper: | pp. 39-45 | ||
| Knowledge Processing System Using Chaotic Associative Memory |
|
||
| Yuko Osana and Masafumi Hagiwara |
| Paper: | pp. 46-51 | ||
| Procedural Knowledge Processing Based on Area Representation Using a Neural Network |
|
||
| Seiya Fujinaga and Masafumi Hagiwara |
| Paper: | pp. 52-56 | ||
| Application of Choquet Integral to Efficient Aggregation of Neural Networks |
|
||
| Sung-Bae Cho |
| Paper: | pp. 57-65 | ||
| The Application of Hybrid Evolving Connectionist Systems to Image Classification |
|
||
| 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 |
|
||
| Toshihiro Kaino and Kaoru Hirota |
| Paper: | pp. 76-87 | ||
| Temporal-Hierarchical Emergency-Degree Inference System for Running Vehicles Using Image and Navigation Data |
|
||
| 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 |
|
||
| Chiung Moon and Mitsuo Gen |
| Paper: | pp. 95-101 | ||
| Fuzzy Rule Interpolation by the Conservation of Relative Fuzziness |
|
||
| Laszlo T. Koczy, Kaoru Hirota and Tamas D. Gedeon |
| Paper: | pp. 102-110 | ||
| Representation and Propagation of Information Granules in Rule-based Computing |
|
||
| Witold Pedrycz and George Vulcovich |
| Paper: | pp. 111-119 | ||
| Non-network Type Artificial Immune System and its Application to Automated Guided Vehicle (AGV) System |
|
||
| Ben T. Nohara and Hiroko Takahashi |
| Paper: | pp. 120-127 | ||
| A New Approach To Speech Coding: the Neural Predictive Coding |
|
||
| 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 |
|
||
| 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 |
|
||
| Masoud Mohammadian |
| Paper: | pp. 451-456 | ||
| Speaker Verification with Fuzzy Fusion and Genetic Optimization |
|
||
| Tuan Pham and Michael Wagner |
| Paper: | pp. 457-461 | ||
| Evolving Cooperative Groups Using Shared Memory |
|
||
| Narendra Puppala and Sandip Sen |
| Paper: | pp. 462-466 | ||
| An Evolutionary Algorithm for Optimizing Handwritten Numeral Templates Represented by Rational B-Spline Surfaces |
|
||
| 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 |
|
||
| Xin Li, Man Wai Mak and Chi Kwong Li |
| Paper: | pp. 474-478 | ||
| Adaptive Reinforcement Learning Integrating Exploitation-and Exploration-oriented Learning |
|
||
| Satoshi Kurihara, Rikio Onai and Toshiharu Sugawara |
| Paper: | pp. 479-484 | ||
| Emotional Robotic System with Psychological Model |
|
||
| Hidenori Ishihara and Toshio Fukuda |
| Paper: | pp. 485-490 | ||
| Probabilistic Learning-Network-Based Robust Control Scheme for Nonlinear Systems |
|
||
| 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 |
|
||
| Kenichiro Hayashi, Akifumi Otsubo and Kazuhiko Shiranita |
| Paper: | pp. 499-508 | ||
| Fuzzy Sets of Type-2 |
|
||
| Robert John |
| Paper: | pp. 509-514 | ||
| Null Queries with Compound Fuzzy Attributes |
|
||
| Shyue-Liang Wang and Yu-Jane Tsai |
| Paper: | pp. 515-518 | ||
| Fuzzy Control of a Direct Current Motor System and Stability Analysis |
|
||
| Euntai Kim, Heejin Lee and Dongyon Kim |
| Paper: | pp. 519-523 | ||
| Narrowing Algorithm for Indoor-Air Pollutants using Gas Sensor Patterns |
|
||
| Takashi Oyabu, Takeshi Onodera, Hidetaka Nambo and Haruhiko Kimura |
| Paper: | pp. 524-531 | ||
| Neurofuzzy Approach to Fault Detection of Nonlinear Systems |
|
||
| Jinglu Hu, Kotaro Hirasawa and Kousuke Kumamaru |
| Paper: | pp. 532-540 | ||
| Quality Function for Unsupervised Classification and its Use in Graphic Arts |
|
||
| 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 |
|
||
| Masumi Ishikawa |
| Paper: | pp. 348-356 | ||
| Hybrid Neural-global Minimization Method of Logical Rule Extraction |
|
||
| Wlodzislaw Duch, Rafal Adamczak, KrzysAof Grabczewski and Grzegorz Zal |
| Paper: | pp. 357-367 | ||
| Fuzzy Rule Acquisition from Trained Artificial Neural Networks |
|
||
| Peter Geczy, Shiro Usui |
| Paper: | pp. 368-372 | ||
| A New Framework for Fuzzy Modeling Using Genetic Algorithm |
|
||
| Seiichi Matsushita, Takeshi Furuhashi and Hiroaki Tsutsui |
| Paper: | pp. 373-385 | ||
| Fuzzy Modeling with Local and Global Objectives |
|
||
| John Yen and Wayne Gillespie |
| Paper: | pp. 386-393 | ||
| Linguistic Rule Extraction from Numerical Data for High-dimensional Classification Problems |
|
||
| 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 |
|
||
| David B. Fogel and Peter J. Angeline |
| Paper: | pp. 401-408 | ||
| Dynamic Service Identification in A Distributed Environment |
|
||
| E.Damiani and M.G.Fugini |
| Paper: | pp. 409-417 | ||
| Fuzzy Cognitive Map Approach to Process Control Systems Chrysostomos |
|
||
| D. Stylios, Peter P Groumpos and Voula C. Georgopoulos |
| Paper: | pp. 418-426 | ||
| Coevolutionary Algorithms for Realization of Intelligent Systems |
|
||
| Hyo-Byung Jun and Kwee-Bo Sim |
| Paper: | pp. 427-430 | ||
| Neural Network-Based Speed Control of A Two-Mass-Model System |
|
||
| Rached Dhaouadi, Khaled Nouri |
| Paper: | pp. 431-438 | ||
| Improvement of Control Performance for Low-Dimensional Number of Fuzzy Labeling Using Simplified Inference |
|
||
| 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 |
|
||
| 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 |
|
||
| 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 |
|
||
| Yukifumi Shigematsu, Hiroshi Okamoto, Kazuhisa Ichikawa and Gen Matsumoto |
| Paper: | pp. 245-254 | ||
| Fuzzy Neural Models Based on Some New Fuzzy* Arithmetic Operations |
|
||
| Petr Musilekl and Madan M. Gupta |
| Paper: | pp. 255-263 | ||
| Conceptual Fuzzy Matching and the Realization of Search Agents |
|
||
| Tomohiro Takagi, Shinichi Kasuya, Masao Mukaidono and Toru Yamaguchi |
| Paper: | pp. 264-273 | ||
| Theories of Set and Logic with Crisp or Fuzzy Information Granules |
|
||
| I.B. Turksen |
| Paper: | pp. 274-281 | ||
| Car Type/Name Recognition System Based on The Concept of Fixation |
|
||
| Yoshinori Arai, Kaoru Hirota |
| Paper: | pp. 282-288 | ||
| A Classifier Based on Neuro-Fuzzy Inference System Ernest |
|
||
| Czogala, Jacek Leski, and Yoichi Hayashi |
| Paper: | pp. 289-298 | ||
| Compensatory Multicriteria Aggregation Algorithm |
|
||
| Marcelo Godoy Simoes |
| Paper: | pp. 299-302 | ||
| SIRMs Connected Fuzzy Inference Model Applied to Process Control -- Automatic Tuning Using a Genetic Algorithm Carla Cavalcante |
|
||
| Koike and Kaoru Hirota |
| Paper: | pp. 303-311 | ||
| LimNet-Flexible Learning Network Containing Linear Properties |
|
||
| Jinglu Hu, Kotaro Hirasawa and Kousuke Kumamaru |
| Paper: | pp. 312-319 | ||
| Control of Decentralized Systems Based on Nash Equilibrium Concept of Game Theory |
|
||
| Kotaro Hirasawa, Jinglu Hu, Yusuke Yamamoto, Chunzhi Jin and Yurio Eki |
| Paper: | pp. 320-325 | ||
| Moving Genetic Algorithm Based Fuzzy Modeling |
|
||
| Euntai Kim, Heejin Lee, Chang-Hoon Lee, Jung-Hwan Kim |
| Paper: | pp. 326-331 | ||
| Local Representation Neural Networks for Feature Selection |
|
||
| M. Mar Abad Grau and L. Daniel Hernandez Molinero |
| Paper: | pp. 332-338 | ||
| Tracking Control of Variable Structure Using Fuzzy Variable Boundary Layer |
|
||
| 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 |
|
||
| Walmir Caminhas, Hermano Tavares, Fernando Gomide and Witold Pedrycz |
| Paper: | pp. 158-163 | ||
| On the Optimization of Fuzzy-Controllers by Neural Networks |
|
||
| Wolfram-M. Lippe, Steffen Niendieck, Andreas Tenhagen |
| Paper: | pp. 164-170 | ||
| Fuzzy Geometry Database |
|
||
| James J. Buckley, Thomas Feuring and Yoichi Hayashi |
| Paper: | pp. 171-176 | ||
| Solving Fuzzy Problems in Operations Research |
|
||
| James J. Buckley, Thomas Feuring and Yoichi Hayashi |
| Paper: | pp. 177-185 | ||
| Neuro-Fuzzy Systems Approaches |
|
||
| Danuta Rutkowska, Yoichi Hayashi |
| Paper: | pp. 186-192 | ||
| Behavior Generation for Mobile Robot Coordinating Simple Behavior |
|
||
| Yasuhisa Hasegawa and Toshio Fukuda |
| Paper: | pp. 193-199 | ||
| Knowledge-Based Approach in Intelligent Handwritten Form Processing |
|
||
| Liya Ding and Ho Chung Lui |
| Paper: | pp. 200-206 | ||
| Self-Tuning for Fuzzy Rule Generation Based upon Fuzzy Singleton-type Reasoning Method |
|
||
| 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 |
|
||
| 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 |
|
||
| Tadanari Taniguchi and Kazuo Tanaka |
| Paper: | pp. 75-81 | ||
| Evolutionary Strategy Using Statistical Information and Its Application to Mobile Robot Control |
|
||
| 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 |
|
||
| 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 |
|
||
| Takeshi Furuhashi, Hidehiro Yamamoto, James F. Peters and Witold Pedrycz |
| Paper: | pp. 106-113 | ||
| Hierarchical Fuzzy Intelligent Controller for Gymnastic Bar Actions |
|
||
| Junji Nishino, Akihiro Tagawa, Haruhiko Shirai, Tomohiro Odaka and Hisakazu Ogura |
| Paper: | pp. 114-125 | ||
| Recursive Fuzzy Modeling Based on Fuzzy Interpolation |
|
||
| 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 |
|
||
| Tetsuji Tani, Takahiro Kobayashi and Sadaaki Miyamoto |
| Paper: | pp. 131-135 | ||
| Fuzzy Adaptive Search Method for Genetic Programming |
|
||
| Yoichiro Maeda |
| Paper: | pp. 136-147 | ||
| Computational Intelligence with New Physical Controllability Measure for Robust Control Algorithm of Extension- Cableless Robotic Unicycle |
|
||
| 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 |
|
||
| Michinori Nakata |
| Paper: | pp. 13-20 | ||
| Fuzzy Clustering for Detecting Linear Structures with Different Dimensions |
|
||
| 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 |
|
||
| Shigeyuki Takahara and Sadaaki Miyamoto |
| Paper: | pp. 28-35 | ||
| On Dynamic Clustering Models for 3-way Data |
|
||
| Mika Sato-Ilic |
| Paper: | pp. 42-49 | ||
| Study on Intelligent Vehicle Control Considering Driver Perception of Driving Environment |
|
||
| Hiroshi Takahashi and Kouichi Kuroda |
| Paper: | pp. 50-55 | ||
| Determinism Measurement in Time Series by Chaotic Approach and Its Applications |
|
||
| Yasunari Fujimoto and Tadashi Iokibe |
| Paper: | pp. 56-65 | ||
| Linguistic Expression Generation Model of Subjective Content in a Picture |
|
||
| 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 |
|
||
| Francesco Frisone, Pietro G. Morasso, and Luca Perico |
| Paper: | pp. 185-194 | ||
| Neuronal and Hemodynamic Events from fMRI Time-Series |
|
||
| 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 |
|
||
| Nikola Kasabov |
| Paper: | pp. 203-207 | ||
| An Adaptive Self-Organizing Algorithm with Virtual Connection |
|
||
| Shingo Kawahara and Toshimichi Saito |
| Paper: | pp. 208-213 | ||
| A Novel Penalty Function Approach to Constrained Optimization Problems with Genetic Algorithms |
|
||
| 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 |
|
||
| Tim Whitfort, Chris Matthews, Belinda Choi and John McCullagh |
| Paper: | pp. 221-227 | ||
| Local Learning Algorithms for Sequential Tasks in Neural Networks |
|
||
| Anthony Robins and Marcus Frean |
| Paper: | pp. 228-233 | ||
| Extending Learning Feasibility Through Feedforward Sequential Learning |
|
||
| 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 |
|
||
| 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 - |
|
||
| Takashi Miyajima and Tatsuo Koitabashi |
| Paper: | pp. 164-175 | ||
| Stable-Optimum Gain Tuning for Designing Mobile Robot Controllers Using Incest Prevented Evolution |
|
||
| 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 |
|
||
| Peter Vojtig |
| Paper: | pp. 128-133 | ||
| Generation of Fuzzy Rules from Decision Trees |
|
||
| Lawrence O. Hall and Petter Lande |
| Paper: | pp. 134-141 | ||
| RasID - Random Search for Neural Network Training |
|
||
| Jinglu Hu, Kotaro Hirasawa and Junichi Murata |
| Paper: | pp. 142-149 | ||
| Fuzzy Flexible-Flow Shops at Two Machine Centers |
|
||
| 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 |
|
||
| Masanori Ito and Feifei Zhang |
| Paper: | pp. 77-81 | ||
| CapRe: a Gaze Tracking System in Man-machine Interaction |
|
||
| Christophe Collet, Alain Finkel, and Rachid Gherbi |
| Paper: | pp. 82-87 | ||
| Some Applications of Soft Computing Methods in System Modeling and Control |
|
||
| Bela Lantos |
| Paper: | pp. 88-95 | ||
| Improved Fuzzy and Neural Network Algorithms for Word Frequency Prediction in Document Filtering |
|
||
| 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 |
|
||
| Abbas Z. Kouzani, Fangpo He, Karl Sammut |
| Paper: | pp. 104-110 | ||
| ViSe2 - An Agent-Based Expert Consulting System with Efficient Cooperation |
|
||
| Cheng-Gang Bian, Wen Cao and Gunnar Hartvigsen |
| Paper: | pp. 111-119 | ||
| Intelligent Computer Methods for Modeling of Manufacturing Processes and Human Intent |
|
||
| László Horváth and Imre J. Rudas |
No.2
(Apr)
Regular papers
Regular Papers
| Paper: | pp. 43-46 | ||
| The Mutate and Spread Metaheuristic |
|
||
| Nicolas Abboud and Masatoshi Sakawa |
| Paper: | pp. 47-53 | ||
| Computing Higher Order Derivatives in Universal Learning Networks |
|
||
| 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 |
|
||
| Youngwan Cho, Kichul Lee and Mignon Park |
| Paper: | pp. 62-67 | ||
| Fuzzy Inference of Time Adjustment in Multimedia Information Acquisition |
|
||
| 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 - |
|
||
| Hajime Yoshino |
| Paper: | pp. 12-15 | ||
| CPF as a Tool for Constructing a Legal Knowledge Base |
|
||
| Seiichiro Sakurai |
| Paper: | pp. 16-25 | ||
| A Framework for Nonmonotonic Reasoning with Rule Priorities |
|
||
| Masato Shibasaki and Katsumi Nitta |
| Paper: | pp. 26-33 | ||
| Natural Language Generation for Legal Expert System and Visualization of Generation Process |
|
||
| Takashi Miyata and Yuji Matsumoto |
| Paper: | pp. 34-42 | ||
| Flowgraph Editor for Legal Articles |
|
||
| 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 |
|
||
| Hajime Yoshino |
| Paper: | pp. 86-93 | ||
| An Application of Fuzzy Theory to the Case-Based Reasoning of the CISG |
|
||
| 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 |
|
||
| Ken Satoh |
| Paper: | pp. 104-113 | ||
| Attacking Legal Argument by Pointing Out the Incoherence of Interpretation of Statute |
|
||
| Yoshiaki Okubo and Makoto Haraguchi |
| Paper: | pp. 114-120 | ||
| Legal Reasoning Using Abductive Logic Programming |
|
||
| Takashi Kanai and Susumu Kunifuji |
| Paper: | pp. 121-129 | ||
| Reasoning about Dynamic Preferences in Circumscriptive Theory by Logic Programming |
|
||
| Toshiko Wakaki, Ken Satoh and Katsumi Nitta |
| Paper: | pp. 130-136 | ||
| Towards the Systematization of the Japanese Maritime Traffic Law |
|
||
| Hiroyuki Matsumoto |
| Paper: | pp. 137-154 | ||
| Learning and Transfer of Human Real-Time Control Strategies |
|
||
| Michael C. Nechyba and Yangsheng Xu |
| Paper: | pp. 155-161 | ||
| Trajectory Generation for Redundant Manipulator using Virus-Evolutionary Genetic Algorithm with Subpopulations |
|
||
| 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 - |
|
||
| Ichiro Kobayashi and Michio Sugeno |
| Paper: | pp. 8-9 | ||
| Vehicle Control Based on Fuzzy Evaluation Knowledge Obtained by Coefficients of the ARMA Model |
|
||
| Hiroshi Takahashi |
| Paper: | pp. 14-22 | ||
| Fuzzy Inference Based Connection Admission Control in ATM Networks |
|
||
| Kiyohiko Uehara and Kaoru Hirota |
| Paper: | pp. 23-30 | ||
| SIRMs (Single Input Rule Modules) Connected Fuzzy Inference Model |
|
||
| Naoyoshi Yubazaki, Jianqiang Yi and Kaoru Hirota |
| Paper: | pp. 31-36 | ||
| An Efficient Method for Extracting Fuzzy Classification Rules from High Dimensional Data |
|
||
| Stephen L. Chin |
| Paper: | pp. 37-44 | ||
| Fuzzy Temporal Methods for Video Multimedia Information Systems |
|
||
| Ronald R. Yager |
| Paper: | pp. 45-61 | ||
| Fuzzy Modeling based Approach to Facial Expressions Understanding |
|
||
| Anca Ralescu and Riad Hartani |
| Paper: | pp. 62-70 | ||
| Mission Planning and Flight Control: Meeting the Challenge with Intelligent Techniques |
|
||
| George Vachtsevanos, Wonoh Kim, Sami A. Al-Hasan, Freeman Rufus Jr., Miguel Simon, Daniel P. Schrage and J. V. R. Prasad |
| Paper: | pp. 71-78 | ||
| Pattern Recognition & Image Understanding based on Fuzzy Technology |
|
||
| Kaoru Hirota, Yoshinori Arai, Yukiko Nakagawa |