Fuzzy Set Theory and Advanced Mathematical Applications

  • Da Ruan

Part of the International Series in Intelligent Technologies book series (ISIT, volume 4)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Foundations of Fuzzy Set Theory

    1. Front Matter
      Pages 1-1
    2. Gert de Cooman
      Pages 89-133
  3. Decision Making and Systems Science

    1. Front Matter
      Pages 135-135
    2. Vincenzo Cutello, Javier Montero
      Pages 175-200
  4. Fuzzy Logic, Fuzzy Control, and Neuro-Fuzzy Control

    1. Front Matter
      Pages 223-223
    2. Madan M. Gupta
      Pages 225-244
    3. László T. Kóczy
      Pages 245-265
    4. Ann Nowé
      Pages 267-289
  5. Back Matter
    Pages 323-324

About this book


Fuzzy Set Theory and Advanced Mathematical Applications contains contributions by many of the leading experts in the field, including coverage of the mathematical foundations of the theory, decision making and systems science, and recent developments in fuzzy neural control. The book supplies a readable, practical toolkit with a clear introduction to fuzzy set theory and its evolution in mathematics and new results on foundations of fuzzy set theory, decision making and systems science, and fuzzy control and neural systems. Each chapter is self-contained, providing up-to-date coverage of its subject.
Audience: An important reference work for university students, and researchers and engineers working in both industrial and academic settings.


control evolution fuzziness fuzzy fuzzy control fuzzy controller fuzzy logic fuzzy sets mathematics programming set theory

Editors and affiliations

  • Da Ruan
    • 1
  1. 1.Belgian Nuclear Research Centre (SCK · CEN)MolBelgium

Bibliographic information

  • DOI
  • Copyright Information Kluwer Academic Publishers 1995
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-6000-1
  • Online ISBN 978-1-4615-2357-4
  • Series Print ISSN 1382-3434
  • Buy this book on publisher's site