• DocumentCode
    1012387
  • Title

    New algorithm for the ranking procedure in fuzzy decision-making

  • Author

    Tseng, Tsueng Yao ; Klein, Cerry M.

  • Author_Institution
    Dept. of Ind. Eng., Missouri Univ., Columbia, MO, USA
  • Volume
    19
  • Issue
    5
  • fYear
    1989
  • Firstpage
    1289
  • Lastpage
    1296
  • Abstract
    In order to rank three or more fuzzy numbers it is necessary to consider not only the accuracy and effectiveness of the method but also its numerical efficiency. An algorithm designed to rank any number of fuzzy numbers is presented. The algorithm is verified by testing it on the set of 13 cases of paired examples, which are normal and convex fuzzy numbers, given in T.Y. Tseng and C.M. Klein (1988). The results are compared with those of W. Kolodziejczyk´s R1 index (1986), and the performance of both algorithms is evaluated. It is concluded that the present algorithm is both accurate and efficient
  • Keywords
    decision theory; fuzzy set theory; fuzzy decision-making; fuzzy numbers; fuzzy set theory; ranking procedure; Algorithm design and analysis; Decision making; Fuzzy sets; Fuzzy systems; Industrial engineering; Shape; Testing;
  • fLanguage
    English
  • Journal_Title
    Systems, Man and Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9472
  • Type

    jour

  • DOI
    10.1109/21.44050
  • Filename
    44050