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Safe Modelling of Fuzzy If-Then Rules

  • Conference paper
Computational Intelligence, Theory and Applications

Part of the book series: Advances in Soft Computing ((AINSC,volume 33))

Abstract

Nowadays, it is not necessary to advocate in favor of systems of fuzzy IFTHEN rules, because they are widely used in applications of fuzzy set theory such that fuzzy control, identification of dynamic systems, prediction of dynamic systems, decision-making, etc. The reason is in the fact that these systems can be effectively used as an instrument for representation of continuous dependencies. Therefore, the continuity property of a model of fuzzy IF-THEN rules is expected.

This paper has been partially supported by grants IAA1187301 of the GA AV ČR, 201/04/1033 of the GA ČR, and by the Deutsche Forschungsgemeinschaft as part of the Collaborative Research Center “Computational Intelligence” (531).

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Author information

Authors and Affiliations

  1. Institute for Research and Applications of Fuzzy Modeling, University of Ostrava, 30. dubna 22, 701 03, Ostrava 1, Czech Republic

    Irina Perfilieva

  2. University of Dortmund, D-44221, Dortmund, Germany

    Stephan Lehmke

Authors
  1. Irina Perfilieva
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  2. Stephan Lehmke
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Editor information

Editors and Affiliations

  1. Department of Computer Science 1, University of Dortmund, FB 8 Ektrotechnik FB Informatik LS Informatik I, Postfach 50 05 00, 44221, Dortmund, Germany

    Bernd Reusch

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© 2005 Springer-Verlag Berlin Heidelberg

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Perfilieva, I., Lehmke, S. (2005). Safe Modelling of Fuzzy If-Then Rules. In: Reusch, B. (eds) Computational Intelligence, Theory and Applications. Advances in Soft Computing, vol 33. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-31182-3_20

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  • DOI: https://doi.org/10.1007/3-540-31182-3_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22807-3

  • Online ISBN: 978-3-540-31182-9

  • eBook Packages: EngineeringEngineering (R0)

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