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Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications

  • Conference proceedings
  • © 1998

Overview

Editors:
  1. Okyay Kaynak

    1. Faculty of Engineering, Bogaziçi University, Istanbul, Turkey

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  2. Lotfi A. Zadeh

    1. Computer Science Division, University of California at Berkeley, Berkeley, USA

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  3. Burhan Türkşen

    1. University of Toronto, Ontario, Canada

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  4. Imre J. Rudas

    1. Bánki Donát Polytechnic, Budapest, Hungary

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Part of the book series: NATO ASI Subseries F: (NATO ASI F, volume 162)

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Table of contents (26 papers)

  1. Front Matter

    Pages I-IX
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  2. Roles of Soft Computing and Fuzzy Logic in the Conception, Design and Deployment of Information/Intelligent Systems

    • Lotfi A. Zadeh
    Pages 1-9

  3. Computational Intelligence Defined - By Everyone !

    • James C. Bezdek
    Pages 10-37

  4. Computational Intelligence: Extended Truth Tables and Fuzzy Normal Forms

    • I. Burhan Türkşen
    Pages 38-59

  5. Uncertainty Theories by Modal Logic

    • Germano Resconi
    Pages 60-79

  6. Sup-T Equations: State of the Art

    • Bernard De Baets*
    Pages 80-93

  7. Measures of Specificity

    • Ronald R. Yager
    Pages 94-113

  8. What’s in a Fuzzy Membership Value?

    • Sukhamay Kundu
    Pages 114-127

  9. New Types of Generalized Operations

    • Imre J. Rudas, Okyay Kaynak
    Pages 128-156

  10. Intelligent Fuzzy System Modeling

    • I. Burhan Türkşen
    Pages 157-176

  11. Fuzzy Inference Systems: A Critical Review

    • Vladimir Cherkassky
    Pages 177-197

  12. Fuzzy Decision Support Systems

    • H.-J. Zimmermann
    Pages 198-229

  13. Neuro-Fuzzy Systems

    • Rudolf Kruse, Detlef Nauck
    Pages 230-259

  14. Fuzzified Petri-Nets and Their Application to Organising Supervisory Controller

    • Georgi M. Dimirovski
    Pages 260-282

  15. A Review of Neural Networks with Direct Learning Based on Linear or Non-Linear Threshold Logics

    • Daniel M. Dubois
    Pages 283-303

  16. The Morphogenetic Neuron

    • Germano Resconi
    Pages 304-332

  17. Boolean Soft Computing by Non-linear Neural Networks With Hyperincursive Stack Memory

    • Daniel M. Dubois
    Pages 333-351

  18. Using Competitive Learning Models for Multiple Prototype Classifier Design

    • James C. Bezdek, Sok Gek Lim, Thomas Gek Reichherzer
    Pages 352-380

  19. Fuzzy Data Analysis

    • H.-J. Zimmermann
    Pages 381-402

  20. Probabilistic and Possibilistic Networks and How To Learn Them from Data

    • Christian Borgelt, Rudolf Kruse
    Pages 403-426
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Keywords

About this book

Soft computing is a consortium of computing methodologies that provide a foundation for the conception, design, and deployment of intelligent systems and aims to formalize the human ability to make rational decisions in an environment of uncertainty and imprecision. This book is based on a NATO Advanced Study Institute held in 1996 on soft computing and its applications. The distinguished contributors consider the principal constituents of soft computing, namely fuzzy logic, neurocomputing, genetic computing, and probabilistic reasoning, the relations between them, and their fusion in industrial applications. Two areas emphasized in the book are how to achieve a synergistic combination of the main constituents of soft computing and how the combination can be used to achieve a high Machine Intelligence Quotient.

Editors and Affiliations

  • Faculty of Engineering, Bogaziçi University, Istanbul, Turkey

    Okyay Kaynak

  • Computer Science Division, University of California at Berkeley, Berkeley, USA

    Lotfi A. Zadeh

  • University of Toronto, Ontario, Canada

    Burhan Türkşen

  • Bánki Donát Polytechnic, Budapest, Hungary

    Imre J. Rudas

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