Extracting trapezoidal membership functions of a fuzzy rule system by bacterial algorithm

J. Botzheim, B. Hámori, L. T. Kóczy

Research output: Conference contribution

20 Citations (Scopus)

Abstract

This paper presents a method of using the so-called "bacterial algorithm" [4, 5] for extracting the rules of a fuzzy system. The class of membership functions is restricted to trapezoidal, as it is general enough and widely used. The algorithm contains the bacterial mutation step allowing both the change of more than one membership function at one time, and the fine-tuning. Further operators are applied for optimising the number of rules in the base, eliminating ineffective rules and contract similar rules into a single one.

Original languageEnglish
Title of host publicationComputational Intelligence
Subtitle of host publicationTheory and Applications - International Conference, 7th Fuzzy Days, Proceedings
Pages218-227
Number of pages10
Publication statusPublished - dec. 1 2001
Event7th International Conference on Computational Intelligence: Theory and Applications, Fuzzy Days 2001 - Dortmund, Germany
Duration: okt. 1 2001okt. 3 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2206 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th International Conference on Computational Intelligence: Theory and Applications, Fuzzy Days 2001
CountryGermany
CityDortmund
Period10/1/0110/3/01

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Extracting trapezoidal membership functions of a fuzzy rule system by bacterial algorithm'. Together they form a unique fingerprint.

  • Cite this

    Botzheim, J., Hámori, B., & Kóczy, L. T. (2001). Extracting trapezoidal membership functions of a fuzzy rule system by bacterial algorithm. In Computational Intelligence: Theory and Applications - International Conference, 7th Fuzzy Days, Proceedings (pp. 218-227). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2206 LNCS).