Sparse fuzzy systems generation and fuzzy rule interpolation: A practical approach

Chong, T. D. Gedeon, Sz Kovacs, L. T. Koczy

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

In this paper, we explore the use of a sparse fuzzy system generation technique in conjunction with simple projection-based fuzzy rule interpolation, to generate sparse fuzzy systems with relatively few rules whilst still achieving reasonable system accuracy. Through setting a parameter value, the user is able to control, to some extent, the number of rules generated by the rule extraction technique. The rule interpolation approach enables the sparse fuzzy system to maintain a reasonable accuracy. The effectiveness of this approach is validated experimentally.

Original languageEnglish
Pages494-499
Number of pages6
Publication statusPublished - Jul 11 2003
EventThe IEEE International conference on Fuzzy Systems - St. Louis, MO, United States
Duration: May 25 2003May 28 2003

Other

OtherThe IEEE International conference on Fuzzy Systems
CountryUnited States
CitySt. Louis, MO
Period5/25/035/28/03

ASJC Scopus subject areas

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

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  • Cite this

    Chong, Gedeon, T. D., Kovacs, S., & Koczy, L. T. (2003). Sparse fuzzy systems generation and fuzzy rule interpolation: A practical approach. 494-499. Paper presented at The IEEE International conference on Fuzzy Systems, St. Louis, MO, United States.