• DocumentCode
    1277367
  • Title

    Fuzzy relation equations and fuzzy inference systems: an inside approach

  • Author

    Stamou, Giorgos B. ; Tzafestas, Spyros G.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Greece
  • Volume
    29
  • Issue
    6
  • fYear
    1999
  • fDate
    12/1/1999 12:00:00 AM
  • Firstpage
    694
  • Lastpage
    702
  • Abstract
    This paper investigates and extends the use of fuzzy relation equations for the representation and study of fuzzy inference systems. Using the generalized sup-t (t is a triangular norm) composition of fuzzy relations and the study of sup-t fuzzy relation equations, interesting results are provided concerning the completeness and the theoretical soundness of the representation, as well as the ability to mathematically formulate and satisfy application-oriented design demands. Furthermore, giving a formal study of fuzzy partitions and some useful aspects of fuzzy associations and fuzzy systems, the paper can be used as a theoretical background for designing consistent fuzzy inference systems
  • Keywords
    fuzzy logic; fuzzy systems; inference mechanisms; application-oriented design demands; fuzzy inference systems; fuzzy relation equations; sup-t fuzzy relation equations; Decision making; Equations; Function approximation; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Manufacturing; Modeling; Neural networks; Robots;
  • fLanguage
    English
  • Journal_Title
    Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4419
  • Type

    jour

  • DOI
    10.1109/3477.809025
  • Filename
    809025