• DocumentCode
    2076833
  • Title

    Defuzzification of fuzzy intervals

  • Author

    Zhao, Renhong ; Govind, Rakesh

  • Author_Institution
    Dept. of Chem. Eng., Cincinnati Univ., OH, USA
  • fYear
    1990
  • fDate
    3-5 Dec 1990
  • Firstpage
    392
  • Lastpage
    397
  • Abstract
    Fuzzy intervals are classified as regular or irregular based on the defuzzification method. A fuzzy interval is regular if its membership function is maximized at its defuzzified value. If the center-of-area method or the fuzzy-mean method is used, the regularity of a fuzzy interval is preserved after applying an arithmetic operation with nonzero real number. Further, the regularities based on the center-of-area method are preserved after addition and subtraction operations on two or more regular fuzzy intervals
  • Keywords
    fuzzy set theory; addition; center-of-area method; defuzzification method; fuzzy intervals; fuzzy set theory; fuzzy-mean method; irregular intervals; membership function; regular intervals; regularity; subtraction; Arithmetic; Chemical engineering; Fuzzy control; Fuzzy sets; Message-oriented middleware; Pneumatic actuators; Process control; Recurrent neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Uncertainty Modeling and Analysis, 1990. Proceedings., First International Symposium on
  • Conference_Location
    College Park, MD
  • Print_ISBN
    0-8186-2107-9
  • Type

    conf

  • DOI
    10.1109/ISUMA.1990.151284
  • Filename
    151284