• DocumentCode
    1957395
  • Title

    Chaining in fuzzy rule-based systems

  • Author

    Hall, Lawrence O.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of South Florida, Tampa, FL, USA
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    906
  • Abstract
    A fuzzy expert system must do rule chaining differently than a non-fuzzy expert system. In particular, all rules that can fire with a particular linguistic variable in their consequent must fire before any rule whose antecedent conditions depend upon the resultant fuzzy set value is allowed to fire. The dependent rules would be considered in a chain with the fuzzy rules which generate or assert the needed fuzzy linguistic variable. A recent paper by Pan-DeSouza-Kak (1998) points out that the FuzzyCLIPS expert system shell does not operate with chained fuzzy rules as one would expect. They introduce FuzzyShell which is described as the only known shell to have the expected fuzzy rule chaining performance. In this paper, we show how FuzzyCLIPS can be made to have the required property. Further, a potential pitfall with the FuzzyShell approach to dealing with chaining is pointed out
  • Keywords
    expert system shells; fuzzy set theory; fuzzy systems; inference mechanisms; FuzzyCLIPS; FuzzyShell; expert system shell; fuzzy expert system; fuzzy linguistic variable; fuzzy rule-based systems; fuzzy set theory; inference engine; rule chaining; Bicycles; Computer science; Decision support systems; Expert systems; Fires; Fuzzy sets; Fuzzy systems; Hybrid intelligent systems; Knowledge based systems; Temperature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2000. FUZZ IEEE 2000. The Ninth IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1098-7584
  • Print_ISBN
    0-7803-5877-5
  • Type

    conf

  • DOI
    10.1109/FUZZY.2000.839152
  • Filename
    839152