• DocumentCode
    1366618
  • Title

    Solving interval-valued fuzzy relation equations

  • Author

    Li, Guangzhi ; Fang, Shu-Cherng

  • Author_Institution
    Dept. of Oper. Res. & Ind. Eng., North Carolina State Univ., Raleigh, NC, USA
  • Volume
    6
  • Issue
    2
  • fYear
    1998
  • fDate
    5/1/1998 12:00:00 AM
  • Firstpage
    321
  • Lastpage
    324
  • Abstract
    Solving systems of fuzzy relation equations is an important topic in fuzzy set theory. This paper studies the composite interval-valued fuzzy relation equations. After analyzing the properties of its solution set, we convert the fuzzy relation equations into a fuzzy relation inequality system and propose an efficient computational procedure to generate the whole solution set. Examples are included to illustrate the idea and algorithm
  • Keywords
    fuzzy set theory; composite interval-valued fuzzy relation equations; fuzzy relation inequality system; fuzzy set theory; Adaptive control; Control systems; Equations; Fuzzy control; Fuzzy logic; Fuzzy set theory; Fuzzy systems; Least squares approximation; Programmable control; Sliding mode control;
  • fLanguage
    English
  • Journal_Title
    Fuzzy Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6706
  • Type

    jour

  • DOI
    10.1109/91.669033
  • Filename
    669033
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1366618