Granularity and Specificity in Fuzzy Function Approximation

Thomas Sudkamp, Robert J. Hammell

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper describes some preliminary investigations into the relationships between granularity and specificity in fuzzy rule bases. It proposes a strategy for learning fuzzy rules that optimizes granularity based on a desired degree of specificity. In addition, this approach may be used to combine rule bases of various degrees of granularity.

Original languageAmerican English
Title of host publication1998 Conference of the North American Fuzzy Information Processing Society, NAFIPS 1998
EditorsLawrence O. Hall, Jim Bezdek
PublisherIEEE
Pages105-109
Number of pages5
ISBN (Print)0-7803-4453-7
DOIs
StatePublished - 1998
Event1998 Conference of the North American Fuzzy Information Processing Society, NAFIPS 1998 - Pensacola Beach, United States
Duration: Aug 20 1998Aug 21 1998

Conference

Conference1998 Conference of the North American Fuzzy Information Processing Society, NAFIPS 1998
Country/TerritoryUnited States
CityPensacola Beach
Period8/20/988/21/98

ASJC Scopus Subject Areas

  • General Computer Science
  • General Mathematics

Keywords

  • Application software
  • Automatic control
  • Computer science
  • Function approximation
  • Fuzzy control
  • Fuzzy reasoning
  • Fuzzy sets
  • Laboratories
  • Marine vehicles
  • Training data

Disciplines

  • Computer Sciences
  • Engineering
  • Mathematics

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