• DocumentCode
    2164169
  • Title

    A systematic approach to perform inference and defuzzification in fuzzy logic controllers

  • Author

    Konig, H. ; Litz, L.

  • Author_Institution
    Kaiserslautern Univ., Germany
  • fYear
    1994
  • fDate
    5-9 Sep 1994
  • Firstpage
    201
  • Lastpage
    206
  • Abstract
    This paper deals with the inference mechanism in fuzzy systems, especially in the field of fuzzy control. Starting from Zadeh´s compositional rule of inference, the principles are discussed with the aim to find an appropriate inference strategy being a generalization of the binary case. An advanced inference and defuzzification strategy is derived which is based on minimizing an appropriate error function
  • Keywords
    fuzzy control; inference mechanisms; defuzzification; fuzzy control; fuzzy logic controllers; fuzzy systems; inference; inference compositional rule; minimization;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Intelligent Systems Engineering, 1994., Second International Conference on
  • Conference_Location
    Hamburg-Harburg
  • Print_ISBN
    0-85296-621-0
  • Type

    conf

  • DOI
    10.1049/cp:19940625
  • Filename
    332039