• DocumentCode
    1978250
  • Title

    Ranking fuzzy numbers with extended fuzzy preference relation

  • Author

    Lee, Hsuan-Shili

  • Author_Institution
    Dept. of Shipping & Transp. Manage., Nat. Taiwan Ocean Univ., Keelung, Taiwan
  • Volume
    1
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    24
  • Abstract
    The crux of the paper is to propose a new ranking method based on a preference relation which is not only easy to compute but also preserving some good properties such as additivity. First, we extend the definition of fuzzy preference relation so that the degree of preference is not confined within 0 and 1. With the extension of the definition, we propose an extended fuzzy preference relation satisfying additivity. By additivity, we mean that if the degree of preference of fuzzy number A over fuzzy number B is x and B over C is y then A over C is x+y
  • Keywords
    computational complexity; fuzzy logic; fuzzy set theory; additivity; complexity; extended fuzzy preference relation; fuzzy number ranking; fuzzy sets; Automatic frequency control; Councils; Fuzzy sets; Oceans; Piecewise linear techniques; Transportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 2001 IEEE International Conference on
  • Conference_Location
    Tucson, AZ
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-7087-2
  • Type

    conf

  • DOI
    10.1109/ICSMC.2001.969782
  • Filename
    969782