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Improvement of Fuzzy Control Methods

  • M. Mizumoto
Part of the International Series in Intelligent Technologies book series (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.

Keywords

Fuzzy Rule Fuzzy Control Fuzzy Logic Controller Control Result Aggregation Operator 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Kluwer Academic Publishers 1995

Authors and Affiliations

  • M. Mizumoto
    • 1
  1. 1.Division of Information and Computer SciencesOsaka Electro-Communication UniversityOsakaJapan

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