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Fuzzy If-Then Rules in Computational Intelligence

Theory and Applications

  • Book
  • © 2000

Overview

Editors:
  1. Da Ruan

    1. Belgian Nuclear Research Centre, SCK•CEN, Belgium

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    You can also search for this editor in PubMed   Google Scholar

  2. Etienne E. Kerre

    1. University of Ghent, Belgium

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 553)

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Table of contents (13 chapters)

  1. Front Matter

    Pages i-x
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  2. The If-Then Logic of Natural Languages and Naturally Correct Inferences

    • Ellen Hisdal
    Pages 1-25

  3. Fuzzy Predicate Calculus and Fuzzy Rules

    • Petr Hájek
    Pages 27-35

  4. The Generalized Modus Ponens in a Fuzzy Set Theoretical Framework

    • Chris Cornelis, Martine De Cock, Etienne E. Kerre
    Pages 37-59

  5. Compositional Rule of Inference Based on Triangular Norms

    • Anna Kolesárová, Etienne E. Kerre
    Pages 61-80

  6. Approximate Reasoning Based on Lattice-Valued Propositional Logic L vpl

    • Yang Xu, Da Ruan, Jun Liu
    Pages 81-105

  7. Mining Interesting Possibilistic Set-Valued Rules

    • Alexandr A. Savinov
    Pages 107-133

  8. Complexity Reduction of a Generalised Rational Form

    • Peter Baranyi, Yeung Yam
    Pages 135-159

  9. Reasoning with Cognitive Structures of Agents I: Acquisition of Rules for Computational Theory of Perceptions by Fuzzy Relational Methods

    • Ladislav J. Kohout, Eunjin Kim
    Pages 161-188

  10. Different Proposals to Improve the Accuracy of Fuzzy Linguistic Modeling

    • Oscar Cordón, Francisco Herrera, María José del Jesus, Pedro Villar, Igor Zwir
    Pages 189-221

  11. Linguistic If-Then Rules in Large Scale Application of Fuzzy Control

    • Vilém Novak, Jaromír Kovář
    Pages 223-241

  12. Fuzzy Rules Extraction-Based Linguistic and Numerical Heterogeneous Data Fusion for Intelligent Robotic Control

    • Changjiu Zhou, Da Ruan
    Pages 243-265

  13. Fuzzy If-Then Rules for Pattern Classification

    • Hisao Ishibuchi, Tomoharu Nakashima, Manabu Nii
    Pages 267-295

  14. Experiments on Fuzzy Logic Systems Based Indirect Adaptive Control of a Flexible Link Manipulator

    • James X. Lee, George Vukovich
    Pages 297-318

  15. Back Matter

    Pages 319-322
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Keywords

About this book

During the last three decades, interest has increased significantly in the representation and manipulation of imprecision and uncertainty. Perhaps the most important technique in this area concerns fuzzy logic or the logic of fuzziness initiated by L. A. Zadeh in 1965. Since then, fuzzy logic has been incorporated into many areas of fundamental science and into the applied sciences. More importantly, it has been successful in the areas of expert systems and fuzzy control. The main body of this book consists of so-called IF-THEN rules, on which experts express their knowledge with respect to a certain domain of expertise.
Fuzzy IF-THEN Rules in Computational Intelligence: Theory and Applications brings together contributions from leading global specialists who work in the domain of representation and processing of IF-THEN rules. This work gives special attention to fuzzy IF-THEN rules as they are being applied in computational intelligence. Included are theoretical developments and applications related to IF-THEN problems of propositional calculus, fuzzy predicate calculus, implementations of the generalized Modus Ponens, approximate reasoning, data mining and data transformation, techniques for complexity reduction, fuzzy linguistic modeling, large-scale application of fuzzy control, intelligent robotic control, and numerous other systems and practical applications. This book is an essential resource for engineers, mathematicians, and computer scientists working in fuzzy sets, soft computing, and of course, computational intelligence.

Editors and Affiliations

  • Belgian Nuclear Research Centre, SCK•CEN, Belgium

    Da Ruan

  • University of Ghent, Belgium

    Etienne E. Kerre

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