Views on Fuzzy Sets and Systems from Different Perspectives

Philosophy and Logic, Criticisms and Applications

  • Rudolf Seising

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 243)

Table of contents

  1. Front Matter
  2. Javier Montero
    Pages 67-77
  3. Stephan van der Waart van Gulik
    Pages 79-97
  4. Christian G. Fermüller
    Pages 229-245
  5. Jorma K. Mattila
    Pages 271-300
  6. Lars Winter, Thomas Kron
    Pages 301-320
  7. Julia Limberg, Rudolf Seising
    Pages 321-344
  8. Janusz Kacprzyk, Sławomir Zadrożny, Hannu Nurmi, Mario Fedrizzi
    Pages 345-360
  9. Marius M. Bǎlaş, Valentina E. Bǎlaş
    Pages 377-391
  10. Joao Paulo Carvalho, José Alberto B. Tomé
    Pages 393-415
  11. Ingo Schmitt, Andreas Nürnberger, Sebastian Lehrack
    Pages 417-438
  12. Frank Klawonn, Frank Höppner
    Pages 439-455
  13. Eyke Hüllermeier
    Pages 457-470
  14. Sarah Greenfield, Robert I. John
    Pages 471-483
  15. Witold Kosiński, Piotr Prokopowicz, Darek Kacprzak
    Pages 485-508
  16. Bartłomiej Starosta, Witold Kosiński
    Pages 509-532
  17. Junzo Watada, Shuming Wang
    Pages 533-545
  18. Shamshul Bahar Yaakob, Junzo Watada
    Pages 547-565
  19. Back Matter

About this book


For more than four decades of its existence, the scientific "Fuzzy Group" has grown from a few engineers, working either alone or in small groups to a large scientific community. From the perspective of the history of science, it is quite normal over the course of time for such research programs to adapt themselves to the phenomena of branching out and differentiation into special projects and penetrating other disciplines. This applies not only to the distribution of research projects, the number of researchers, and the benefits of various research funding programs but also in the high profile of the subject in widely diverse fields of science, technology and business.

For more than forty years fuzzy logic and fuzzy mathematics have been continuously developed, resulting in important theoretical expansions of this mathematical theory of unsharp amounts or logic of unsharp statements, which have often very quickly led to new application systems. At the same time, the areas of artificial neural networks and of evolutionary and genetic algorithms emerged as independent research disciplines and beginning in the 1980s new developments arose that were hardly foreseeable: the theory of fuzzy sets and systems was combined with these new scientific theories and methods and the use of "hybrid systems" became more and more common in all types of applications.

In our new century, the theory of fuzzy sets and systems is in the core of "Soft Computing" and "Computational Intelligence" and has become a normal scientific theory in the fields of exact sciences and engineering and it is well on its way to becoming normal in the soft sciences as well. This book is a collection of the views of numerous scholars in different parts of the world who are involved in various research projects concerning fuzziness in science, technology, economic systems, social sciences, logics and philosophy. This volume demonstrates that there are many different views of the theory of fuzzy sets and systems and of their interpretation and applications in diverse areas of our cultural and social life.


artificial intelligence computational intelligence control engineering fuzziness fuzzy fuzzy logic fuzzy set fuzzy sets fuzzy system learning logic model neuroscience philosophy science

Editors and affiliations

  • Rudolf Seising
    • 1
  1. 1.Medical University of ViennaAustria

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-540-93801-9
  • Online ISBN 978-3-540-93802-6
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site
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