• DocumentCode
    1449221
  • Title

    Defuzzification using most typical values

  • Author

    Kandel, A. ; Friedman, M.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of South Florida, Tampa, FL, USA
  • Volume
    28
  • Issue
    6
  • fYear
    1998
  • fDate
    12/1/1998 12:00:00 AM
  • Firstpage
    901
  • Lastpage
    906
  • Abstract
    A new approach for the defuzzification process, based on the Most Typical Value (MTV) concept, is being introduced and investigated. It assumes that the single decision, based on the output fuzzy subset, should represent a typical value of this set, rather than a numerical “central tendency” of its elements. The MTV defuzzification method is compared with previous defuzzification procedures and its applicability is illustrated
  • Keywords
    fuzzy logic; fuzzy set theory; defuzzification; most typical values; output fuzzy subset; Automatic control; Control systems; Feedforward neural networks; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Genetic algorithms; Neural networks;
  • fLanguage
    English
  • Journal_Title
    Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4419
  • Type

    jour

  • DOI
    10.1109/3477.735402
  • Filename
    735402
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1449221