Linguistic Hedges for Ant-generated Rules

Michelle Galea, Qiang Shen

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

Abstract

FRANTIC, a system inspired by insect behaviour for inducing fuzzy IF-THEN rules, is enhanced to produce rules with linguistic hedges. FRANTIC is evaluated against an earlier version of itself and against several other fuzzy rule induction algorithms, and the results are highly encouraging. Rule comprehensibility is maintained while an improvement in the accuracy of the rulebases induced is observed. Equally important, the increase in computation expense due to the improved richness in the hypothesis language is acknowledged, and several ways of resolving this are discussed.
Original languageEnglish
Title of host publicationFuzzy Systems, 2006 IEEE International Conference on
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1973-1980
Number of pages8
ISBN (Print)0-7803-9488-7
DOIs
Publication statusPublished - 2006

Keywords

  • computational linguistics
  • knowledge based systems
  • learning (artificial intelligence)
  • FRANTIC system
  • ant generated rules
  • fuzzy if-then rules
  • fuzzy induction algorithm
  • fuzzy rules from ant-inspired computation
  • linguistic hedges
  • Ant colony optimization
  • Condition monitoring
  • Control systems
  • Costs
  • Electrical equipment industry
  • Fuzzy systems
  • Industrial control
  • Insects
  • Iterative algorithms
  • Predictive models

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