editors

Takeshi YamakawaKyushu Institute of Technology,lizukajapan

Gen MatsumotoElectrotechnical LaboratoryTsukubaJapan

Proceedings

of the 5th

International

Conference onlizuka, Fukuoka, japan October 16-20,1998

Soft Computing

and Information/

Intelligent Systems

Vol. 1

Application of Soft Computing

SOFT RSIInternational

Fuzzy Systemsscociation (IFSA)

InternationalNeural NetworkSociety (INNS)

Japan Society forFuzzy Theory andSystem (SOFT)

Japan NeuralNetwork Society

(JNNS)

Kyushu Instituteof Technology

(KIT)

Fuzzy LogicSystem Institute

(FLSI)

World ScientificSingapore • New Jersey • London • Hong Kong

CONTENTS

VOLUME 1

OPENING LECTURES

1 . From Computing with Numbers to Computing with Words- From Manipulation of Measurement to Manipulation of Perceptions 3

Prof. Lotfi A. ZadehUniversity of California, Berkeley (U.S.A.)

2 . The Neurobiology of Semantics: How can Machines be Designedto Have Meanings? 5

Prof. Walter J. FreemanUniversity of California, Berkeley (U.S.A.)

KEYNOTE SPEECH

1. The Brain and Brainway Computer 13Dr. Gen MatsumotoRIKEN Brain Science Institute (Japan)

PLENARY LECTURES

1 . Advanced Neural Nets for Visual Image Communication 23Prof. Harold Szu*, Dr. Charles Hsu** and Prof. Takeshi Yamakawa***•University of Southwestern Louisiana (U.S.A.)**George Washington University (U.S.A.)***Kyushu Institute of Technology (Japan)

2 . Right-Brain Computing on Silicon Integrated Circuits 31Prof. Tadashi ShibataThe University of Tokyo (Japan)

3 . Techniques for Extracting Rules from Artificial Neural Networks 39Prof. Rudy SetionoNational University of Singapore (Singapore)

4 . Between Brain and Robots: "Airplanes do not flap their wings for flying,as birds do": An Epistemological Contradictory Proposal 40

Dr. Michel Dufosse"University Pierre and Marie Curie (France)

5 . Interactive Evolutionary Computation- Cooperation of Computational Intelligence and Human KANSEI 41

Prof. Hideyuki TakagiKyushu Institute of Design (Japan)

6. Neural Networks Learning for Data Mining 51Prof. Jacek M. ZuradaUniversity of Louisville (U.S.A.)

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INVITED / ORDINARY SESSIONS

A-l METHODS FOR MULT3VARIATE DATA PROJECTION ANDVISUAL ANALYSIS (UNVOTED)

Organizer: Prof. Andreas KonigDresden University of Technology (Germany)

1. A Survey of Methods for Multivariate Data Projection, Visualisation andInteractive Analysis 55

Andreas KonigDresden University of Technology (Germany)

2 . An Acoustic Data Base Navigator for the Interactive Analysis of Psycho-Acoustic Sound Archives 60

Andreas Konig*, Friedrich E. Blutner**, Michael Eberhardt** andRobert Wenzel*** Dresden University of Technology (Germany)**SYNOTEC Psychoinformatik GmbH (Germany)

3 . Enhancing SOM Based Data Visualization 64Juha Vesanto, Johan Himberg, Markus Siponen and Olli SimulaHelsinki University of Technology (Finland)

4 . Comparing 2D and 3D Self-Organizing Maps in Financial DataVisualization 68

Kimmo KiviluotoHelsinki University of Technology (Finland)

A-2 BIO-INSPIRED HARDWARE SYSTEMS (INVITED)Organizer: Prof. Andreas Konig

Dresden University of Technology (Germany)

1. VLSI-Architecture of an Application Specific Vision-Chip for Overtake-Monitoring and Real-Time Eye-Tracking 72

Andreas Konig, Thomas Knobloch and Jan SkribanowitzDresden University of Technology (Germany)

2 . Artificial Retina Chips for 3-D Human Motion Reconstruction 76Hiroshi Kage, Eiichi Funatsu, Ken-ichi Tanaka and Kazuo KyumaMitsubishi Electric Corporation (Japan)

3 . Kohonen-SOM for the Neuro-Computer Synapse 1 N110 77Stefan Neuwirth, Andreas Tenhagen and W.-M. LippeUniversitaet Muenster (Germany)

4 . Bifurcation and Chaotic Behavior in a Silicon Thyristor Device 81Naoyuki Miyata and Hiroshi ShimonoToa University (Japan)

A-3 HARDWARE IMPLEMENTATION OF SOFT COMPUTING

1. Bifurcation and Chaos in a Sinusoidally-Driven L-C-R-Diode Circuit 85Naoyuki Miyata, Hiroshi Shimono and Koji NishidaToa University (Japan)

XVIII

2 . Implementing Backpropagation on Neural Hardware by Using Matrixes.... 89S. Kiihne, A. Tenhagen and W.-M. LippeUniversitaet Muenster (Germany)

3 . Exploring Fuzzy Logic Controller Implementations with HLS 93Jose" Ignacio Martinez Torre*, Jean-Pierre Deschamps** andMilagros Fernandez Centeno**Univ. Complutense de Madrid (Spain)** Univ. Aut6noma de Madrid (Spain)

4 . Current-Mode Fuzzy Operation Circuit Using Positive, MinimumRedundantly-Represented High-Radix Number 97

Toru Tabata*, Fumio Ueno* and Takahiro Inoue***Kumamoto National College of Technology (Japan)**Kumamoto University (Japan)

A-4 BIO ALGORITHMS (INVITED)Organizer: Prof. Tadashi Shibata

The University of Tokyo (Japan)

1. Moderationism: Self-Organization Algorithm for Neural Networksby Making Excitation of Every Neuron to Moderate 101

Yoichi Okabe, Takashi Kouhara, Hideki Hayashi, Atsushi Narusawa,Manabu Kitagawa and Mitsuo MiyaoThe University of Tokyo (Japan)

2 . A Formal Neuron Model with Active Dendrites 105Norihiro Katayama, Mitsuyuki Nakao and Mitsuaki YamamotoTohoku University (Japan)

A-5 BIO INSPIRED HARDWARE II (INVITED)Organizer: Prof. Tadashi Shibata

The University of Tokyo (Japan)

1. Motion Detection with Bio-Inspired Analog MOS Circuits 109Hiroo Yonezu, Tetsuya Asai, Masahiro Ohtani and Naoki OhshimaToyohashi University of Technology (Japan)

2 . v -Mos Cellular-Automaton Devices for Intelligent ImageSensors 113

Masayuki Ikebe, Masamichi Akazawa and Yoshihito AmemiyaHokkaido University (Japan)

A-6 BIO INSPIRED HARDWARE II (INVITED)Organizer: Prof. Tadashi Shibara

The University of Tokyo (Japan)

1. LSI Implementation of Neural Networks Using a Pulse-Width ModulationMethod 118

Takashi Morie, Jun Funakoshi, Makoto Nagata andAtsushi IwataHiroshima University (Japan)

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2 . Learning Characteristics of Neuron Oscillation Circuits UsingMetal-Ferroelectric-Semiconductor(MFS)FET 122

Hiroshi Ishiwara, Sung-Min Yoon, Yuji Kurita andEisuke TokumitsuTokyo Institute of Technology (Japan)

A-7 COUPLED SYSTEMS (INVITED)Organizer: Prof. Tadashi Shibata

The University of Tokyo (Japan)

1. Semiconductor Chaos-Generating Elements of Simple Structureand Their Coupled Operation 126

Koichiro Hoh, Tatsuo Tsujita, Takahiro Irita, Yuichiro Aihara andMinoru FujishimaThe University of Tokyo (Japan)

2 . Design Criteria for the Global Minimum in a Cross-Coupled Network 131Masayoshi Shimoto and Takeshi YamakawaKyushu Institute of Technology (Japan)

A-8 BLIND SOURCES SEPARATION AND INDEPENDENT COMPONENTSANALYSES (INVITED)

Organizer: Prof. Harold Szu* & Dr. Charles Hsu**•University of Southwestern Louisiana (U.S.A.)**The George Washington University (U.S.A.)

1. Image Independent Component Analyses via Wavelet Subbands 135Harold Szu*, Charles Hsu** and Takeshi Yamakawa****University of Southwestern Louisiana (U.S.A.)**The George Washington University (U.S.A.)***Kyushu Institute of Technology (Japan)

2 . Efficient Fourier Demixing Filter Employing the Statistics of Only OneKnown Source 139

Eiji Uchino*, Noriaki Suetake** and Takeshi Yamakawa***Yamaguchi University (Japan)**Kyushu Institute of Technology (Japan)

3 . Speech Hyphenation Segmentation by Means of Blind SourceSeparation 143

Harold Szu* and Charles Hsu***University of Southwestern Louisiana (U.S.A.)**The George Washington University (U.S.A.)

4 . Inverse of Independent Wavelet Component Analyses Super-MotherWavelet Theorem 147

Harold Szu* and Charles Hsu***University of Southwestern Louisiana (U.S.A.)**The George Washington University (U.S.A.)

XX

A-9 SPECIAL SESSION ON SOFT COMPUTING IN POWER ELEi

1 . Training of Neurofuzzy Power System Stabiliser Using GeneticAlgorithms 151

A. Afzalian* and D. A. Linkens***Power & Water Institute of Technology (Iran)**University of Sheffield (U.K.)

2 . New Design Method of Fuzzy Logic Controller Using Self-OrganizingRelationship (Invited) 155

Takeshi Yamakawa and Keiichi HorioKyushu Institute of Technology (Japan)

3 . A New Computing Structure for Power Quality Analysis Using Fuzzy Logic— An Approach Based on RMS Current and Peak Voltage 159

Haroldo R. de Azevedo, Aloisio de Oliveira andRonan Marcelo MartinsUniversity Federal of Uberlandia (Brazil)

4 . Fuzzy Technology in Voltage and Reactive Power Control in PowerSystems 163

Petr Ekel, Luiz Terra and Marcio JungesCatholic University of Minas Gerais (Brazil)

A-10 LEARNING ALGORITHM I

1 . A Tuning Method of Fuzzy Rules by Fuzzy Singleton-Type ReasoningMethod. Part II 167

Yan Shi* and Masaharu Mizumoto***Kyushu Tokai University (Japan)**Osaka Electro-Communication University (Japan)

2 . Reinforced Learning of Fuzzy Models by Use of Consequent DataSets 171

Gancho Vachkov and Toshio FukudaNagoya University (Japan)

3 . Dynamics of Uniform PR Systems and Learning Rules 175Alan M. N. Fu*, Hong Yan* and Gi Y. Lim***University of Sydney (Australia)**Taejon National University of Technology (Korea)

4 . Second Order Derivatives in Dynamic Neural Networks 179Tomasz J. Cholewo and Jacek M. ZuradaUniversity of Louisville (U.S.A.)

A-11 LEARNING ALGORITHM II

1 . Learning with Constructive Backpropagation 183Mikko LehtokangasTampere University of Technology (Finland)

2 . A Study on Adaptive Complex Systems Under Some SimpleConditions 187

Tetsu Miyagi, Zensho Nakao and Yen Wei ChenUniversity of the Ryukyus (Japan)

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3 . Learning a Vague Concept and Making Argument from Examples byFuzzy Factors Hierarchy in the Legal Reasoning System 191

MingQiang Xu*, Kaoru Hirota* and Hajime Yoshino***Tokyo Institute of Technology (Japan)**Meiji Gakuin University (Japan)

4 . Performance Evaluation of Fuzzy Rule-Based (^-Learning 195Chi-Hyon Oh*, Tomoharu Nakashima* and Hisao Ishibuchi**Osaka Prefecture University (Japan)

B-l SOFT COMPUTING IN FACIAL EXPRESSION AND RECOGNITION

Organizer: Prof. Takehisa OnisawaUniversity of Tsukuba (Japan)

1. Fuzzy Reasoning Model of Facial Selection and Its Applications 201Toshiyuki YamashitaYamagata University (Japan)

2 . Facial Caricature Drawing and Modification Using LinguisticExpressions 205

Junji Nishino, Tomonori Kameyama, Haruhiko Shirai,Tomohiro Odaka and Hisakazu OguraFukui University (Japan)

3 . Facial Caricature Drawing with Personal Impressions 209Shino Iwashita and Takehisa OnisawaUniversity of Tsukuba (Japan)

4 . Face Detection Using Pattern Information and Deformable Templatein Motion Images 213

Sungyun Wee, Seunghwan Ji, Changyong Yoon and Mignon ParkYonsei University (Korea)

B-2 INFORMATION PROCESSING IN HUMAN CENTERED SYSTEMS

Organizer: Prof. Takehisa OnisawaUniversity of Tsukuba (Japan)

1. Diagnosis of Automobile Component by Chaotic Approach 217Yasunari Fujimoto, Tadashi Iokibe and Masayasu KankeMeidensha Corporation (Japan)

2 . A Study on Designing Intelligent Vehicle Using Driving Environment-Driver-Vehicle Interaction Model 221

Hiroshi TakahashiNissan Motor Co., Ltd. (Japan)

3 . A Method of Adaptive Simulated Annealing and Application to a Class ofOptimal Allocation Problems 227

Shigeyuki Takahara* and Sadaaki Miyamoto***Kagawa Prefectural Industrial Technology Center (Japan)••University of Tsukuba (Japan)

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4 . Extraction of Subjective Information from a Picture 231Mitsuru Iwata and Takehisa OnisawaUniversity of Tsukuba (Japan)

B-3 EMOTIONAL INFORMATION PROCESSING

1 . KANSEI Words Processing and Personal Adjustment 235Naruki Shirahama*, Nagamatsu Masahiro** and Torao Yanaru***Kitakyushu National College of Technology (Japan)** Kyushu Institute of Technology (Japan)

2 . Information Retrieval System Based on a Relative KANSEI Model 239Kouji Miura, Jun Ozawa and Takeshi ImanakaMatsushita Electric Industrial Co., Ltd. (Japan)

3 . Emotional Expression for Autonomous Mobile Robot 243Yoichiro MaedaOsaka Electro-Communication University (Japan)

4 . Image Retrieval System Based on Subjective Interpretation 247Kaori Yoshida*&***, Toshikazu Kato** and Torao Yanaru**Kyushu Institute of Technology (Japan)**Chuo University (Japan)***Electrotechnical Laboratory (Japan)

B-4 DIAGNOSTIC SYSTEMS

1 . Application to the New Identification and Analysis Methods forTransiently Evoked Otoacoustic Emission 251

Liming Li*, Jinsen Lin** and Zhengguo Zhang***Kyushu Institute of Technology (Japan)**Peking Union Medical College (P. R. China)

2 . On a Diagnostic System for Digital Circuits 255Hiroshi Sakai, Atsushi Imamoto and Akimichi OkumaKyushu Institute of Technology (Japan)

3 . Performance Optimization of a Fuzzy Diagnosis System for RotatingMachinery Using Genetic Algorithms 259

Jesus Fernandez Salido and Shuta MurakamiKyushu Institute of Technology (Japan)

4 . Parallel State Space Search with Lagrange Programming Neural Networkfor Test Generation in Combinational Circuits 263

Masahiro Nagamatu and Torao YanaruKyushu Institute of Technology (Japan)

B-S WHAT SHOULD BE COMPUTED TO UNDERSTAND AND MAKEBRAIN FUNCTION? I (INVITED)

Organizer: Prof. Tadashi KitamuraKyushu Institute of Technology (Japan)

1 . Decision Making and Regret: Dynamically Indefinite Boundary 267Yukio-Pegio GunjiKobe University (Japan)

XXIII

2 . Evolving Fuzzy Neural Networks-Algorithms, Applications and BiologicalMotivation 271

Nikola KasabovUniversity of Otago (New Zealand)

3 . The Ultimate Products of the Brain/Mind Machine: Wishful Understandingtoward the World 275

Akifumi TokosumiTokyo Institute of Technology (Japan)

4 . Computer Semiotics: Understanding Meanings and Parallel Languages 279Horia-Nicolai TeodorescuUniversity of South Florida (U.S.A.) andTechnical University of Iasi (Romania)

B-6 WHAT SHOULD BE COMPUTED TO UNDERSTAND AND MAKEBRAIN FUNCTION? II (INVITED)

Organizer: Prof. Tadashi KitamuraKyushu Institute of Technology (Japan)

1. The Neurodynamics of Intentionality is the Basis of IntelligentBehavior 283

Walter J FreemanUniversity of California at Berkeley (U.S.A.)

2 . Emergence of Primitive Verbal Communication in Robotics 284Tetsuya Ogata and Shigeki SuganoWaseda University (Japan)

3 . Prey and Predator Model Applying Incomplete Identification Model 288Takanori Watanabe, Nobuhide Kitabayashi and Yukio-P. GunjiKobe University (Japan)

4 . The Inevitable Logical Jump from Machinery Thinking to the Acceptanceof Anthropomorphism 292

Nobuhide Kitabayashi, Yoshiyuki Kusunoki and Yukio-Pegio GunjiKobe University (Japan)

B-7 WHAT SHOULD BE COMPUTED TO UNDERSTAND AND MAKEBRAIN FUNCTION? Ill (INVITED)

Organizer: Prof. Tadashi KitamuraKyushu Institute of Technology (Japan)

1. A Model of Ants Generating and Degenerating Routes 297Yoshiyuki Kusunoki, Nobuhide Kitabyashi and Yukio-Pegio GunjiKobe University (Japan)

2 . Animal Spatial Representation Resulting from the Process of ProvingAutonomy 301

Tohru MoriyamaKobe University (Japan)

3 . Cerebellar Error Signals: Place and Mode of Computation 305Michel Dufosse", Arthur Kaladjian and Francois BlancUniversity P. & M. Curie (France)

XXIV

An Architecture for Animal-Like Behavior Selection 309Tadashi KitamuraKyushu Institute of Technology (Japan)

I SPECIAL SESSION ON SOFT COMPUTING IN MEDICAL IMAGEPROCESSING IN COOPERATION WITH BISC-SPECIAL INTERESTGROUP IN MEDICAL IMAGING I (INVITED)

Organizer: Prof. Yutaka Hata* & Prof. Erdmuthe Meyer zu Bexten**•Himeji Institute of Technology (Japan)**University of Applied Sciences Giessen-Friedberg

(Germany)

State of the Art and Trend on Medical Imaging in Japan 313Yutaka HataHimeji Institute of Technology (Japan)

State of the Art and Trends on Medical Image Processing in Germany 317Erdmuthe Meyer zu Bexten*, Jens Hiltner** and Claudio Moraga***University of Applied Sciences Giessen-Friedberg (Germany)**University of Dortmund (Germany)

Fuzzy Image Processing: Potentials and State of the Art 321Hamid R. TizhooshUniversity of Magdeburg (Germany)

Neural Networks and Fuzzy Logic in Medical Image Processing 325Jens Hiltner*, Igor Aizenberg**, Erdmuthe Meyer zu Bexten***and Claudio Moraga**University of Dortmund (Germany)**State Scientific and Research Institute of Informational Infrastructure (Ukraine)***University of Applied Sciences Giessen-Friedberg (Germany)

5> SPECIAL SESSION ON SOFT COMPUTING IN MEDICAL IMAGEPROCESSING IN COOPERATION WITH BISC-SPECIAL INTERESTGROUP IN MEDICAL IMAGING II (INVITED)

Organizer: Prof. Yutaka Hata* & Prof. Erdmuthe Meyer zu Bexten**•Himeji Institute of Technology (Japan)••University of Applied Sciences Giessen-Friedberg

(Germany)

Fuzzy Cluster Analysis for MR Angiography Image Classification 329Syoji Kobashi, Naotake Kamiura, Yukata Hata andFujio MiyawakiHimeji Institute of Technology (Japan)

Fuzzy Object Descriptions for Medical Image Processing 333Jens Hiltner, Madjid Fathi and Bernd ReuschUniversity of Dortmund (Germany)

Fuzzy Expert System for Foot CT Image Segmentation 337Shoji Hirano, Naotake Kamiura and Yutaka HataHimeji Institute of Technology (Japan)

XXV

4 . A Hybrid Neuro Fuzzy System for Knowledge-Based Restoration ofElectronic Portal Images in Radiation Therapy 341

H. R. Tizhoosh, G. Krell and B. MichaelisOtto-von-Guericke-University Magdeburg (Germany)

B-10 BIOMEDICAL APPLICATION OF SOFT COMPUTING I

1 . Wavelet Based Adaptive Resonance Theory (ART) Neural Network forMicrocalcifications Detection in Mammograms 345

Golshah Naghdy, Yue Li and Jian WangUniversity of Wollongong (Australia)

2 . Nonlinear Discriminant Analysis Using Feed-Forward NeuralNetworks 349

Takashi Koshimizu and Masaaki TsujitaniOsaka Electro-Communication University (Japan)

3 . Analyses of Voltage Changes of Palms by Means of Fuzzy Theory 353Shoji Suzuki*, Yoshinori Adachi**, Takashi Aoki** and Toru Tabata**Kumamoto National College of Technology (Japan)**Chubu University (Japan)

4 . A Refinement to Trepan 357David Puiggros and Mario ReyesUniversitat Autonoma de Barcelona (Spain)

B - l l BIOMEDICAL APPLICATION OF SOFT COMPUTING II

1 . A Study on Recognition of Bronchogenic Cancer Cell Image Using a NewPhysiological Self-Organized and Supervised Learning Algorithm 361

Kwang Baek Kim* and Eui Young Cha***Silla University (Korea)**Pusan National University (Korea)

2 . Fuzzy Analysis Between the Instrumental Activities of Daily Living andPhysical Fitness Tests in Elderly Women 367

Hayato Uchida*, Yutaka Hata* and Hideyasu Aoyama***Himeji Institute of Technology (Japan)**Okayama University Medical School (Japan)

3 . Automatic Detection of Microcalcifications in Mammograms Using a FuzzyClassifier 371

A. P. Drijarkara, G. Naghdy, F. NaghdyUniversity of Wollongong (Australia)

4 . Fuzzy Methods of Fusing Classic and Chaotic Numerical Parameters ina Hand Tremor Rehabilitation System 375

Horia-Nicolai Teodorescu*&****, Abraham Kandel*,Cornelia Teodorescu***, Daniel Mlynek**,Wladimir Rodriguez*******, Constantin Posa**** and Ion Ropota•University of South Florida (U.S.A)**Ecole Polytechnique Federale de Lausanne (Switzerland)•••University of Craiova PhDs. (Romania)••••Technical University "Gh. Asachi" Iasi (Romania)•••••Universidad de Los Andes (Venezuela)

XXVI

C-l FUZZY MEASURES AND INTEGRALS: THEORY AND APPLICATIONS

Organizer: Dr. Michel GrabischThomson-CSF (France)

1. An Industrial Application of the Choquet Integral forGlobal Performance Evaluation of Operations 381

Lewis WarrenDefence Science and Technology Organisation (Australia)

2 . Application of the Choquet Integral in a Software Deployability ControlSystem 386

James F. Peters III* and Sheela Ramanna*&***University of Manitoba (Canada)**University of Winnipeg (Canada)

3 . Analysis of Subjective Evaluation Structure by the Choquet IntegralModel 390

Yoshiteru Nakamori* and Tomohisa Terada***Japan Advanced Institute of Science and Technology (Japan)**Jonan High School (Japan)

4 . k-Additive Measures: Recent Issues and Challenges 394Michel GrabischThomson-CSF (France)

C-2 FUZZY REASONING AND RETRIEVAL (INVITED)Organizer: Dr. Liya Ding

National University of Singapore (Singapore)

1. Reasoning about Possibilistic Assignments Through MaximumUncertainty 398

Arthur Ramer* and Wen-Hsien Chen**•University of New South Wales (Australia)••National Taiwan University (R.O.C.)

2 . Measurement of Spatial Similarity by Fuzzy Matching 400Peir-Cheng Chieng, Been-Chian Chien and Tzung-Pei HongI-Shou University (R.O.C.)

3 . Extending Compound Fuzzy Attributes for Fuzzy Queries 404Shyue-Liang Wang and Yu-Jane TsaiI-Shou University (R.O.C.)

4 . Revision Principle Applied for Approximate Reasoning 408Liya Ding* and Peizhuang Wang***National University of Singapore (Singapore)**West Texas A & M University (U.S.A.)

XXVII

C-3 INTELLIGENT SYSTEMS USING FUZZY LOGIC (INVITED)Organizer: Dr. Liya Ding

National University of Singapore (Singapore)

1. Fuzzy Information Integration Applied in Medical Expert Systems 414Nguyen Hoang PhuongInstitute of Information Technology (Vietnam)

2 . Using Fuzzy Rules with Importance Factors for Time Series Predictionand Rule Selection 418

Kuhu Pal and Nikhil R. PalIndian Statistical Institute (India)

3 . AVIS: A Connectionist-Based Framework for Integrated Audio and VisualInformation Processing 422

Nikola Kasabov*, Eric Postma** and Jaap van den Herik***University of Otago (New Zealand)**University of Maastricht (The Netherlands)

4 . Fuzzy Inference with Fuzzy-Constraint-Propagation Control 426Kiyohiko Uehara^ and Kaoru Hirota^•Toshiba Corporation (Japan)••Tokyo Institute of Technology (Japan)

C-4 FUZZY LOGIC CONTROL I

1. A Fuzzy Navigation System with Fuzzy Noise Conditioning 430Heng Hui Wong and Dan CorbettUniversity of South Australia (Australia)

2 . Analysis and Design of Robust Fuzzy Feedback Linearization ControllerBased on Takagi-Sugeno Model 434

Young-Wan Cho, Sang-Hyoung Lee, Kyung-Jung Kim andMignon ParkYonsei University (Korea)

3 . PID Fuzzy Logic Controller with Self-Tuning Mechanism of ScalingFactors 438

Chul-Heui Lee and Seon-Hak SeoKangwon National University (Korea)

4 . Reinforcement Learning Neural Networks/Fuzzy Controller 442Yao-Wu Du, Zheng Lu and Xi-Zhi ShiShanghai Jiao Tong University (P. R. China)

C-5 FUZZY LOGIC CONTROL II

1. Design of Fuzzy Controller for Robot Motion by Local Learning 446Gancho Vachkov, Yasuhisa Hasegawa and Toshio FukudaNagoya University (Japan)

XXVIII

2 . A Fuzzy Traffic Controller with Membership Functions Generatedby Genetic Algorithms 450

Jongwan Kim+, Byeong Man Kim**, Ju-Youn Kim**,Yong-Doo Lee* and Hiecheol Kim**Taegu Univerty (Korea)••Kumoh National University (Korea)

3 . An Optimal Design of Fuzzy Logic Controller by Co-Adaptation ofLearning and Evolution 454

Daijin Kim and In-Hyun ChoDongA University (Korea)

4 . Experiments with the Fuzzy Logic Controlled Wheelchair 459Dan Corbett and Berend-Jan van der ZwaagUniversity of South Australia (Australia)

C-6 FUZZY LOGIC CONTROL III

1 . Dynamics, Modeling and Fuzzy Control for Fermentative Production ofPoly /J-hydroxybutyric Acid from Sugars via Lactate by a Mixed Cultureof Lactobacillus Delbrueckii and Alcaligenes Eutrophus 463

Masayuki Tohyama, Tomoji Katoh, Huidong Shi andKazuyuki ShimizuKyushu Institute of Technology (Japan)

2 . Fuzzy Control of Pyruvate Fermentation Based on Metabolic FluxModel 467

Chen Yang, Qiang Hua and Kazuyuki ShimizuKyushu Institute of Technology (Japan)

3 . Fuzzy Logic and Neural Networks Approach - A Way to Increase Efficiencyand Improve Overall Performance of Integrated Heating Systems in Newand Renovated Housing Stock 471

Evgueniy EntchevCANMET Energy Technology Centre (Canada)

4 . Comparison Study Between Fuzzy Logic and PI Controllers forPhotovoltaic Array Converters 475

A. M. A. Mahmoud*, H. M. Mashaly*, S. A. Kandil*,H. EL Khashab** and M. N. F. Nashed***Ain Shams University (Egypt)••Electronic Research Institute (Egypt)

C-7 FUZZY LOGIC CONTROL IV

1 . Fuzzy Sliding Mode Control of Nonlinear Systems 479Jen-Yang Chen^&** and Ching-Chang Wong**Tamkang University (R.O.C.)••China Institute of Technology and Commerce (R.O.C.)

2 . Tracking Control of Nonlinear Systems Using Fuzzy Sliding Surfaces 483Heejin Lee, Kichul Lee, Euntai Kim, Junghwan Kim andMignon ParkYonsei University (Korea)

XXIX

3 . Fuzzy Rule Base Reduction for Arbitrary Inference Algorithm UsingSingular Value Decomposition 487

P&er Baranyi*&^, Attila Martinovics^, Domonkos Tikk^,Yeung Yam*** and K6czy T. Laszl6%**Hungarian Academy of Science (Hungary)••Technical University of Budapest (Hungary)•••Chinese University of Hong Kong (Hong Kong)

4 . Fuzzy Multiple Model with Hierarchical Priority Rule Structure forNonlinear Systems 491

Chul-Heui Lee and Seon-Hak SeoKangwon National University (Korea)

C-8 FUZZY MODELING I

1 . Fuzzy Modeling for Control of the Chaotic Parametrically ExcitedPendulum 495

Ellen ApplebaumUniversity of Colorado (U.S.A.)

2 . Time Series Modelling and Prediction Using Fuzzy Trend Information 499J. F. Baldwin, T. P. Martin and J. M. RossiterUniversity of Bristol (U.K.)

3 . Fuzzy Modeling Using Genetic Algorithm in a Framework of InverseProblem Solving 503

S. Matsushita*, T. Furuhashi** and H. Tsutsui***•Nagoya Municipal Industrial Research Institute (Japan)• • Nagoya University (Japan)•••Yamatake-Honeywell Co. (Japan)

4 . On Fuzzy Stopping of Fuzzy Random Sequences 507Yuji YoshidaKitakyushu University (Japan)

C-9 FUZZY MODELING II

1 . Recurrent Fuzzy Rules for Belief Updating 511J. F. Baldwin, T. P. Martin and J. M. RossiterUniversity of Bristol (U.K.)

2 . The Emergence of Cooperative Behavior by Co-Evolution Scheme 515Hyo-Byung Jun and Kwee-Bo SimChung-Ang University (Korea)

3 . Fuzzy Mathematical Model for Decision Making in Association withPersonnel Allocation — Optimizing Job Placement of New Hires 519

Yoshihiro Morimoto*, Zhong Guo Giang** and Yasuo Nakayama*^•Kumamoto National College of Technology (Japan)••Kumamoto Gakuen University (Japan)

4 . Learning Fuzzy Rules for Group Intelligence of Autonomous MobileRobots 523

Seong-Gon KongSoongsil University (Korea)

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C-10 FUZZY MODELING III

1. A Proposal of Uneven Division of Input Space for Hierarchical FuzzyModeling 527

Kanta Tachibana and Takeshi FuruhashiNagoya University (Japan)

2 . A New Approach to Acquisition of Comprehensible Fuzzy Rules 531Hiroshi Ohno* and Takeshi Furuhashi**•Toyota Central Research & Development Labs., Inc.**Nagoya University (Japan)

3 Fuzzy Modeling and Identification, Using AFRELI and FuZionAlgorithms 535

Jairo Espinosa and Joos VandewalleKatholieke Universiteit Leuven-ESAT-SISTA (Belgium)

4 . Generalized Bitemporal Constructors for a Fuzzily-Bounded TimeInterval Model 541

Werasak KurutachMahanakorn University of Technology (Thailand)

C- l l FUZZY MODELING IV

1. Outlines of a Soft Computer for Brain Simulation 545Saeed Bagheri Shouraki and Nakaji HondaUniversity of Electro-Communications (Japan)

2 . Antecedent Validity Adaptation Principle for Fuzzy Systems Tuning 551P. T. Chan and A. B. RadThe Hong Kong Polytechnic University (Hong Kong)

3 . A Fuzzy Modeling Approach Based on a Clustering Algorithm 555Ching-Chang Wong and Chia-Chong ChenTamkang University (R.O.C.)

4 . A Study on the Representation of the Fuzzy Relation Between JapaneseClause and Its Co-Occurrence Attributes 559

Taro Fujimoto and Michio SugenoTokyo Institute of Technology (Japan)

5 . Combined Differential Geometric Technique and Fuzzy Logic System forDesigning Nonlinear Excitation Control Law 563

Zhishan Liang, Huaguang Zhang and Kaiyan PanNortheastern University (P.R.China)

AUTHOR INDEX 567

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