• DocumentCode
    2274095
  • Title

    Non-singleton fuzzy logic systems

  • Author

    Mouzouris, George C. ; Mendel, Jerry M.

  • Author_Institution
    Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
  • fYear
    1994
  • fDate
    26-29 Jun 1994
  • Firstpage
    456
  • Abstract
    In this paper we present a formal derivation of general non-singleton fuzzy logic systems. We show how they can be efficiently computed and give examples for special types of inference and membership functions. We also present analytical comparison of the non-singleton and singleton fuzzy logic systems formulation
  • Keywords
    fuzzy logic; fuzzy set theory; inference mechanisms; uncertainty handling; data uncertainty; fuzzy set theory; inference; membership functions; nonsingleton fuzzy logic systems; Fuels; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Noise shaping; Optimization methods; Training data; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-1896-X
  • Type

    conf

  • DOI
    10.1109/FUZZY.1994.343742
  • Filename
    343742
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2274095