• DocumentCode
    2138728
  • Title

    Qualitative fuzzy system structures

  • Author

    Wong, S.K.M. ; Yao, Y.Y. ; Bollmann-Sdorra, P.

  • Author_Institution
    Dept. of Comput. Sci., Regina Univ., Saskatchewan, Sask., Canada
  • fYear
    1993
  • fDate
    1993
  • Firstpage
    857
  • Abstract
    The authors attempt to establish a measurement-theoretic foundation for fuzzy sets. A qualitative relational system called the fuzzy system structure is introduced. This forms the basis for examining the ordering and properties of a fuzzy system. More specifically, an empirical relation is used to characterize the relationship between two objects with respect to a fuzzy set. Another empirical relation is used to characterize the relationship between two fuzzy sets with respect to an object x. These two primitive relations together characterize a qualitative fuzzy system, by which the necessary and sufficient conditions that justify the use of the min-max numerical system are identified
  • Keywords
    fuzzy set theory; measurement theory; empirical relation; fuzzy sets; fuzzy system structure; measurement-theoretic foundation; min-max numerical system; primitive relations; qualitative relational system; Computer science; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Lakes; Sufficient conditions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 1993., Second IEEE International Conference on
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-0614-7
  • Type

    conf

  • DOI
    10.1109/FUZZY.1993.327554
  • Filename
    327554