• DocumentCode
    458844
  • Title

    A Novel Method of Ranking Fuzzy Numbers for Decision-making Problems

  • Author

    Lian, Zhigang ; Jiao, Bin ; Gu, Xingsheng

  • Author_Institution
    Res. Inst. of Autom., East China Univ. of Sci. & Technol., Shanghai
  • Volume
    1
  • fYear
    2006
  • fDate
    16-18 Oct. 2006
  • Firstpage
    354
  • Lastpage
    360
  • Abstract
    Ranking fuzzy numbers is important for decision-making problems in a fuzzy environment since the measurements are imprecise in nature. In this paper one new method of ranking fuzzy numbers was proposed by using the angle of triangular and trapezoidal fuzzy number besides alpha-cuts of fuzzy number. Ranking-maker´s preference is considered and membership functions of fuzzy numbers don´t need to be known before ranking. The results of some preliminary numerical experiments show the discrimination is valid. This new way is simple and efficient for the calculation and comparison
  • Keywords
    decision making; fuzzy set theory; decision making problem; fuzzy number ranking; membership function; trapezoidal fuzzy number; triangular fuzzy number; Artificial intelligence; Automation; Data analysis; Decision making; Electric variables measurement; Embedded computing; Fuzzy sets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    0-7695-2528-8
  • Type

    conf

  • DOI
    10.1109/ISDA.2006.71
  • Filename
    4021464