© 2000

Fuzzy If-Then Rules in Computational Intelligence

Theory and Applications

  • Da Ruan
  • Etienne E. Kerre

Table of contents

  1. Front Matter
    Pages i-x
  2. Chris Cornelis, Martine De Cock, Etienne E. Kerre
    Pages 37-59
  3. Anna Kolesárová, Etienne E. Kerre
    Pages 61-80
  4. Alexandr A. Savinov
    Pages 107-133
  5. Peter Baranyi, Yeung Yam
    Pages 135-159
  6. Oscar Cordón, Francisco Herrera, María José del Jesus, Pedro Villar, Igor Zwir
    Pages 189-221
  7. Vilém Novak, Jaromír Kovář
    Pages 223-241
  8. Hisao Ishibuchi, Tomoharu Nakashima, Manabu Nii
    Pages 267-295
  9. Back Matter
    Pages 319-322

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.


Computational Intelligence Fuzzy agents calculus complexity expert system fuzzy control fuzzy logic fuzzy sets intelligence knowledge modeling natural language robot uncertainty

Editors and affiliations

  • Da Ruan
    • 1
  • Etienne E. Kerre
    • 2
  1. 1.Belgian Nuclear Research CentreSCK•CENBelgium
  2. 2.University of GhentBelgium

Bibliographic information