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Comparison of Reasoning for Fuzzy Control

  • Conference paper
Computational Intelligence, Theory and Applications

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

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Abstract

Researchers proposed many reasoning methods. However, many of the methods are suitable neither for fuzzy control nor for fuzzy modeling. In the paper some possible reasoning methods are compared from this point of view. The most popular approach to fuzzy control and modeling is based on if ... then rules. Using this approach four general problems must be solved:

  • what interpretations of sentence connectives “and” “or” and negation “not” may be used for if part

  • what implication or other operation may be used for conclusion (then) part

  • what interpretation to use for rule aggregator “also”

  • what defuzzification procedure can be applied.

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Author information

Authors and Affiliations

  1. Warsaw University of Technology, Warsaw

    Bohdan Butkiewicz

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  1. Bohdan Butkiewicz
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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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Butkiewicz, B. (2005). Comparison of Reasoning for Fuzzy Control. 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_67

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  • DOI: https://doi.org/10.1007/3-540-31182-3_67

  • 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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