• DocumentCode
    2599157
  • Title

    Consistency of models for approximate reasoning and systems of fuzzy relational equations

  • Author

    Perfilieva, Irina G. ; Tonis, Alexander S.

  • Author_Institution
    Dept. of Appl. Math., Moscow State Acad. of Instrum. Making & Inf., Russia
  • fYear
    1996
  • fDate
    19-22 Jun 1996
  • Firstpage
    583
  • Lastpage
    587
  • Abstract
    Necessary and sufficient conditions for validity of the Generalized Modus Ponens scheme of inference are suggested in the general case where t-norm is arbitrary. The special cases of t-norms (min and Lukasiewicz t-norm) are considered separately with examples. The used techniques is based on solving the system of fuzzy relation equations. Thus the obtained results can also be interpreted as necessary and sufficient conditions for consistency of fuzzy relational equation systems
  • Keywords
    fuzzy set theory; inference mechanisms; relational algebra; uncertainty handling; Generalized Modus Ponens scheme; approximate reasoning; fuzzy relational equations; inference; model consistency; sufficient conditions; t-norm; Equations; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Humans; Informatics; Instruments; Mathematics; Sufficient conditions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society, 1996. NAFIPS., 1996 Biennial Conference of the North American
  • Conference_Location
    Berkeley, CA
  • Print_ISBN
    0-7803-3225-3
  • Type

    conf

  • DOI
    10.1109/NAFIPS.1996.534801
  • Filename
    534801