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Fuzzy Reasoning in Information, Decision and Control Systems

  • Book
  • © 1994

Overview

Editors:
  1. S.G. Tzafestas

    1. National Technical University of Athens School of Electrical and Computer Engine, Zografou, Athens, Greece

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  2. Anastasios N. Venetsanopoulos

    1. University of Toronto Dept. Electrical & Computer Engineering, Toronto, Canada

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    You can also search for this editor in PubMed   Google Scholar

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Table of contents (21 chapters)

  1. Front Matter

    Pages I-xviii
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  2. General Issues

    1. Front Matter

      Pages 1-1
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    2. Fuzzy Sets and Fuzzy Reasoning: An Introduction

      • S. G. Tzafestas, A. N. Venetsanopoulos, S. Terzakis
      Pages 3-29

    3. On The Validation of Fuzzy Knowledge Bases

      • Didier Dubois, Henri Prade
      Pages 31-49

    4. Software Representation of Fuzzy Sets and Logic

      • Sozo Yamamoto
      Pages 51-68

    5. Fuzzy Dynamic Systems: Analysis, Control and Identification

      • A. N. Venetsanopoulos, S. G. Tzafestas, S. Terzakis
      Pages 69-96

  3. Neuro-Fuzzy Systems

    1. Front Matter

      Pages 97-97
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    2. Neural Net Applications in Fuzzy Systems

      • Hiroshi Kawamura, Akinori Tani
      Pages 99-119

    3. Neuro-Fuzzy Expert Systems: Overview with a Case Study

      • Sushmita Mitra, Sankar K. Pal
      Pages 121-143

    4. Fuzzy Reasoning Through A General Neural Network Model

      • S. G. Tzafestas, G. B. Stamou, K. Watanabe
      Pages 145-161

  4. Fuzzy Controllers

    1. Front Matter

      Pages 163-163
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    2. Demystification of Fuzzy Control

      • R. Jager, H. B. Verbruggen, P. M. Bruijn
      Pages 165-197

    3. Analysis, Design, Implementation and Critical Appreciation of Fuzzy Logic Controller

      • Kumar S. Ray
      Pages 199-275

    4. Fuzzy Controller Design: A Sliding Mode Approach

      • Chung-Chun Kung, Sinn-Cheng Lin
      Pages 277-306

    5. Multivariable Fuzzy Sliding Mode Control by Using a Simplex of Control Vectors

      • Giorgio Bartolini, Antonella Ferrrara
      Pages 307-328

    6. Knowledge Representation and Information Processing in Intelligent Controllers

      • Kaoru Hirota, Witold Pedrycz
      Pages 329-343

  5. Fuzzy Reasoning and Estimation Methodologies

    1. Front Matter

      Pages 345-345
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    2. Fuzzy Parameter and State Estimation

      • S. G. Tzafestas, S. Terzakis, A. N. Venetsanopoulos
      Pages 347-368

    3. A Fuzzy Reasoning Methodology for Rule-Based Systems

      • Shyi-Ming Chen
      Pages 369-386

    4. Computing the Multivalued Shape of a Pattern Class

      • Deba Prasad Mandal, C. A. Murthy
      Pages 387-418
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Keywords

About this book

Great progresses have been made in the application of fuzzy set theory and fuzzy logic. Most remarkable area of application is 'fuzzy control', where fuzzy logic was first applied to plant control systems and its use is expanding to consumer products. Most of fuzzy control systems uses fuzzy inference with max-min or max-product composition, similar to the algorithm that first used by Mamdani in 1970s. Some algorithms are developed to refine fuzzy controls systems but the main part of algorithm stays the same. Triggered by the success of fuzzy control systems, other ways of applying fuzzy set theory are also investigated. They are usually referred to as 'fuzzy expert sys­ tems', and their purpose are to combine the idea of fuzzy theory with AI based approach toward knowledge processing. These approaches can be more generally viewed as 'fuzzy information processing', that is to bring fuzzy idea into informa­ tion processing systems.

Editors and Affiliations

  • National Technical University of Athens School of Electrical and Computer Engine, Zografou, Athens, Greece

    S.G. Tzafestas

  • University of Toronto Dept. Electrical & Computer Engineering, Toronto, Canada

    Anastasios N. Venetsanopoulos

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