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Computational properties of fuzzy logic deduction

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Book cover Computational Intelligence Theory and Applications (Fuzzy Days 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1226))

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Abstract

This paper studies computational properties of fuzzy logic deduction and compares them with the standard inference methods. The principles of deduction in fuzzy logic are explained and algorithms for its computer realization are described. Basic algorithm has exponential complexity with respect to the number of antecedent variables, and in case of fuzzy observations we are able to improve its performance only by constant factor.

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Authors and Affiliations

  1. Institute for Research and Applications of Fuzzy Modeling, University of Ostrava, Bráfova 7, 701 03, Ostrava, Czech Republic

    Antonín Dvořák

Authors
  1. Antonín Dvořák
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Editor information

Bernd Reusch

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© 1997 Springer-Verlag Berlin Heidelberg

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Dvořák, A. (1997). Computational properties of fuzzy logic deduction. In: Reusch, B. (eds) Computational Intelligence Theory and Applications. Fuzzy Days 1997. Lecture Notes in Computer Science, vol 1226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-62868-1_111

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  • DOI: https://doi.org/10.1007/3-540-62868-1_111

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62868-2

  • Online ISBN: 978-3-540-69031-3

  • eBook Packages: Springer Book Archive

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