• DocumentCode
    2645146
  • Title

    Reasonable conclusions in fuzzy reasoning

  • Author

    Lazzerini, Beatrice ; Marcelloni, Francesco

  • Author_Institution
    Dipartimento di Ingegneria della Inf., Pisa Univ., Italy
  • fYear
    1996
  • fDate
    16-19 Nov. 1996
  • Firstpage
    440
  • Lastpage
    442
  • Abstract
    We consider fuzzy implication operators which are extensions of the two valued logic implication operator and are non decreasing with respect to their second argument. Firstly, we analyze some features of these operators with regard to fuzzy reasoning with one rule. Then, as regards approximate reasoning with multiple rules, we demonstrate that, for an inference process using Sup-T composition in the context of Compositional Rule of Inference (CRI), a necessary condition to infer a reasonable conclusion is that the minimum be used as an aggregation operator. Finally, when the minimum is used as an aggregation operator we provide a sufficient condition to obtain a reasonable inference result.
  • Keywords
    fuzzy set theory; inference mechanisms; multivalued logic; uncertainty handling; CRI; Compositional Rule of Inference; Sup-T composition; aggregation operator; approximate reasoning; fuzzy implication operators; fuzzy reasoning; inference process; multiple rules; reasonable conclusions; reasonable inference result; sufficient condition; two valued logic implication operator; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Hybrid intelligent systems; Logic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 1996., Proceedings Eighth IEEE International Conference on
  • ISSN
    1082-3409
  • Print_ISBN
    0-8186-7686-7
  • Type

    conf

  • DOI
    10.1109/TAI.1996.560774
  • Filename
    560774