• DocumentCode
    1309342
  • Title

    Defuzzification techniques for fuzzy controllers

  • Author

    Saade, Jean J. ; Diab, Hassan B.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., American Univ. of Beirut, Lebanon
  • Volume
    30
  • Issue
    1
  • fYear
    2000
  • fDate
    2/1/2000 12:00:00 AM
  • Firstpage
    223
  • Lastpage
    229
  • Abstract
    Based on the features and disadvantages of the commonly used defuzzification techniques and on the elements involved in the structure of a fuzzy controller, a new and advantageous defuzzification technique is introduced and justified. This is done by integrating the defuzzification problem into the global structure of fuzzy controllers. Another related defuzzification strategy, which has been introduced elsewhere by the principle author of this study, is also given and commented upon. Further, case studies are considered and comparative conclusions are drawn
  • Keywords
    controllers; fuzzy control; inference mechanisms; defuzzification; fuzzy controllers; inference rules; logic operations; membership functions; performance; Approximation algorithms; Function approximation; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Neural networks; Robustness; Signal processing algorithms;
  • fLanguage
    English
  • Journal_Title
    Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4419
  • Type

    jour

  • DOI
    10.1109/3477.826965
  • Filename
    826965