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The Springer International Series in Engineering and Computer Science

Fuzzy If-Then Rules in Computational Intelligence

Theory and Applications

Editors: Ruan, Da, Kerre, Etienne E. (Eds.)

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  • ISBN 978-1-4615-4513-2
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Hardcover $169.99
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Softcover $169.99
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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.

Table of contents (13 chapters)

  • The If-Then Logic of Natural Languages and Naturally Correct Inferences

    Hisdal, Ellen

    Pages 1-25

  • Fuzzy Predicate Calculus and Fuzzy Rules

    Hájek, Petr

    Pages 27-35

  • The Generalized Modus Ponens in a Fuzzy Set Theoretical Framework

    Cornelis, Chris (et al.)

    Pages 37-59

  • Compositional Rule of Inference Based on Triangular Norms

    Kolesárová, Anna (et al.)

    Pages 61-80

  • Approximate Reasoning Based on Lattice-Valued Propositional Logic L vpl

    Xu, Yang (et al.)

    Pages 81-105

Buy this book

eBook $129.00
price for USA in USD (gross)
  • ISBN 978-1-4615-4513-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.99
price for USA in USD
  • ISBN 978-0-7923-7820-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $169.99
price for USA in USD
  • ISBN 978-1-4613-7035-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Fuzzy If-Then Rules in Computational Intelligence
Book Subtitle
Theory and Applications
Editors
  • Da Ruan
  • Etienne E. Kerre
Series Title
The Springer International Series in Engineering and Computer Science
Series Volume
553
Copyright
2000
Publisher
Springer US
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4615-4513-2
DOI
10.1007/978-1-4615-4513-2
Hardcover ISBN
978-0-7923-7820-4
Softcover ISBN
978-1-4613-7035-2
Series ISSN
0893-3405
Edition Number
1
Number of Pages
X, 322
Topics