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Logic versus Approximation pp 6–17Cite as

The Inherent Indistinguishability in Fuzzy Systems

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3075))

Abstract

This paper provides an overview of fuzzy systems from the viewpoint of similarity relations. Similarity relations turn out to be an appealing framework in which typical concepts and techniques applied in fuzzy systems and fuzzy control can be better understood and interpreted. They can also be used to describe the indistinguishability inherent in any fuzzy system that cannot be avoided.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Applied Sciences Braunschweig/Wolfenbüttel, Salzdahlumer Str. 46/48, D-38302, Wolfenbuettel, Germany

    Frank Klawonn

  2. Department of Computer Science, Otto-von-Guericke University, Universitätsplatz 2, D-39106, Magdeburg, Germany

    Rudolf Kruse

Authors
  1. Frank Klawonn
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  2. Rudolf Kruse
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Kaiserslautern, P.O. Box 3049, D-67653, Kaiserslautern

    Wolfgang Lenski

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© 2004 Springer-Verlag Berlin Heidelberg

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Klawonn, F., Kruse, R. (2004). The Inherent Indistinguishability in Fuzzy Systems. In: Lenski, W. (eds) Logic versus Approximation. Lecture Notes in Computer Science, vol 3075. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25967-1_2

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  • DOI: https://doi.org/10.1007/978-3-540-25967-1_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22562-1

  • Online ISBN: 978-3-540-25967-1

  • eBook Packages: Springer Book Archive

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