Fuzzy modeling based on generalized conjunction operations

Ildar Batyrshin, Okyay Kaynak, Imre Rudas

Research output: Contribution to journalArticle

49 Citations (Scopus)

Abstract

A novel approach to fuzzy modeling based on the tuning of parametric conjunction operations is proposed. First, some novel methods for the construction of parametric generalized conjunction operations simpler than the known parametric classes of conjunctions are considered and discussed. Second, several examples of function approximation by fuzzy models, based on the tuning of the parameters of the new conjunction operations, are given and their approximation performances are compared with the approaches based on a tuning of membership functions and other approaches proposed in the literature. It is seen that the tuning of the conjunction operations can be used for obtaining fuzzy models with a sufficiently good performance when the tuning of membership functions is not possible or not desirable.

Original languageEnglish
Pages (from-to)678-683
Number of pages6
JournalIEEE Transactions on Fuzzy Systems
Volume10
Issue number5
DOIs
Publication statusPublished - Oct 1 2002

Keywords

  • Conjunction
  • Disjunction
  • Functions approximation
  • Fuzzy modeling
  • T-norm

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Applied Mathematics

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