Resolving the conflict between competitive and cooperative behavior in michigan-type fuzzy classifier systems

Peter Haslinger, Ulrich Bodenhofer

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

Abstract

A vital problem for fuzzy classifier systems of the Michigan type is the conflict of competition and cooperation of rules. Whereas the classical approach of a classifier system circumvents this complicacy by the total lack of collaboration of classifiers, the fuzzification approach has to deal with it. This paper proposes a solution to this dilemma by introducing a special encoding of the classifiers and by performing a selection algorithm on a sub-group of firing rules.

Original languageEnglish
Title of host publicationProceedings - 4th Conference of the European Society for Fuzzy Logic and Technology and 11th French Days on Fuzzy Logic and Applications, EUSFLAT-LFA 2005 Joint Conference
Pages279-284
Number of pages6
Publication statusPublished - 2005
EventJoint 4th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2005 and 11th French Days on Fuzzy Logic and Applications, LFA 2005 - Barcelona, Spain
Duration: 7 Sep 20059 Sep 2005

Publication series

NameProceedings - 4th Conference of the European Society for Fuzzy Logic and Technology and 11th French Days on Fuzzy Logic and Applications, EUSFLAT-LFA 2005 Joint Conference

Conference

ConferenceJoint 4th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2005 and 11th French Days on Fuzzy Logic and Applications, LFA 2005
CountrySpain
CityBarcelona
Period07.09.200509.09.2005

Keywords

  • Fuzzy classifier systems
  • Fuzzy systems
  • Genetic algorithms
  • Learning classifier systems

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