Fuzzy Systems

Modeling and Control

  • Hung T. Nguyen
  • Michio Sugeno

Part of the The Springer Handbook Series on Fuzzy Sets book series (FSHS, volume 2)

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Didier Dubois, Hung T. Nguyen, Henri Prade, Michio Sugeno
    Pages 1-17
  3. Hung T. Nguyen, Vladik Kreinovich
    Pages 19-62
  4. Kazuo Tanaka, Michio Sugeno
    Pages 63-89
  5. Ronald R. Yager, Dimitar P. Filev
    Pages 91-133
  6. Vladik Kreinovich, George C. Mouzouris, Hung T. Nguyen
    Pages 135-195
  7. Laurent Foulloy, Sylvie Galichet
    Pages 197-225
  8. Rainer Palm
    Pages 227-272
  9. Kazuo Tanaka
    Pages 273-290
  10. Hamid R. Berenji
    Pages 291-310
  11. Witold Pedrycz, Abraham Kandel, Yan-Qing Zhang
    Pages 311-380
  12. Nadipuram Ram R. Prasad
    Pages 381-401
  13. Andreas Geyer-Schulz
    Pages 403-459
  14. J. P. Aubin, O. Dordan
    Pages 461-488
  15. Phil Diamond
    Pages 489-515
  16. Back Matter
    Pages 517-519

About this book


The analysis and control of complex systems have been the main motivation for the emergence of fuzzy set theory since its inception. It is also a major research field where many applications, especially industrial ones, have made fuzzy logic famous.
This unique handbook is devoted to an extensive, organized, and up-to-date presentation of fuzzy systems engineering methods. The book includes detailed material and extensive bibliographies, written by leading experts in the field, on topics such as:
  • Use of fuzzy logic in various control systems.
  • Fuzzy rule-based modeling and its universal approximation properties.
  • Learning and tuning techniques for fuzzy models, using neural networks and genetic algorithms.
  • Fuzzy control methods, including issues such as stability analysis and design techniques, as well as the relationship with traditional linear control.
  • Fuzzy sets relation to the study of chaotic systems, and the fuzzy extension of set-valued approaches to systems modeling through the use of differential inclusions.

Fuzzy Systems: Modeling and Control is part of The Handbooks of Fuzzy Sets Series. The series provides a complete picture of contemporary fuzzy set theory and its applications. This volume is a key reference for systems engineers and scientists seeking a guide to the vast amount of literature in fuzzy logic modeling and control.


Chaos Fuzzy algorithms complex system design fuzzy controller fuzzy logic fuzzy systems genetic algorithms learning logic modeling set theory sets system modeling

Editors and affiliations

  • Hung T. Nguyen
    • 1
  • Michio Sugeno
    • 2
  1. 1.New Mexico State UniversityUSA
  2. 2.Tokyo Institute of TechnologyJapan

Bibliographic information

  • DOI
  • Copyright Information Kluwer Academic Publishers 1998
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-7515-9
  • Online ISBN 978-1-4615-5505-6
  • Series Print ISSN 1388-4352
  • Buy this book on publisher's site