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Improvement of Fuzzy Control Methods

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Fuzzy Logic and Intelligent Systems

Part of the book series: International Series in Intelligent Technologies ((ISIT,volume 3))

Abstract

This chapter introduces improvement methods for fuzzy controls. At first, we introduce new aggregation operators for obtaining a fuzzy set of control actions. A number of new fuzzy reasoning methods such as product-sum-gravity method, min-sum-gravity method, (min/product)-max-gravity method and others are also introduced. Finally, we show several defuzzification procedures for obtaining a representative point of a fuzzy set of control actions.

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References

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Authors and Affiliations

  1. Division of Information and Computer Sciences, Osaka Electro-Communication University, Neyagawa, Osaka, 572, Japan

    M. Mizumoto

Authors
  1. M. Mizumoto
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© 1995 Kluwer Academic Publishers

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Mizumoto, M. (1995). Improvement of Fuzzy Control Methods. In: Fuzzy Logic and Intelligent Systems. International Series in Intelligent Technologies, vol 3. Springer, Dordrecht. https://doi.org/10.1007/978-0-585-28000-4_1

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  • DOI: https://doi.org/10.1007/978-0-585-28000-4_1

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-0-7923-9575-1

  • Online ISBN: 978-0-585-28000-4

  • eBook Packages: Springer Book Archive

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