Similarity in hierarchical fuzzy rule - base systems

Leila Muresan, Kóczy T. László, Kaoru Hirota

Research output: Contribution to journalConference article

Abstract

This paper deals with issues related to fuzzy interpolation and hierarchical fuzzy rule bases, from the point of view of similarity between rule antecedents and observations. The existing distance-based similarities are exhibiting sometimes strange properties, which make them inadequate for the selection of interpolating fuzzy rules, for instance. In the paper, similarity of two fuzzy sets is expressed as a crisp value, rather then based on a fuzzy distance. This leads to easier rule selection, but also to some modification of the interpolation methods.

Original languageEnglish
Pages (from-to)746-750
Number of pages5
JournalIEEE International Conference on Fuzzy Systems
Volume1
Publication statusPublished - Dec 31 2002
Event2002 IEEE International Conference on Fuzzy Systems: FUZZ-IEEE'02 - Honolulu, HI, United States
Duration: May 12 2002May 17 2002

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ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

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