• DocumentCode
    2420209
  • Title

    Linguistic Hedges for Ant-generated Rules

  • Author

    Galea, Michelle ; Shen, Qiang

  • Author_Institution
    Edinburgh Univ., Edinburgh
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    1973
  • Lastpage
    1980
  • 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.
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2006 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-9488-7
  • Type

    conf

  • DOI
    10.1109/FUZZY.2006.1681974
  • Filename
    1681974