• DocumentCode
    1255494
  • Title

    A simple approach to ranking a group of aggregated fuzzy utilities

  • Author

    Chen, Chie-Bein ; Klein, Cerry M.

  • Author_Institution
    Dept. of Ind. Eng., Missouri Univ., Columbia, MO, USA
  • Volume
    27
  • Issue
    1
  • fYear
    1997
  • fDate
    2/1/1997 12:00:00 AM
  • Firstpage
    26
  • Lastpage
    35
  • Abstract
    When ranking a large quantity of fuzzy numbers, the efficiency, accuracy, and effectiveness of the ranking process is critical. The paper considers the application of “α-cut” and “fuzzy arithmetic operations” to the fuzzy weighted average (FWA) method which can be used to rank aggregated fuzzy utilities (or generalized fuzzy numbers). The purpose of this application is to make the method easier to program and the data easier to manipulate, which results in a more practical method for fuzzy decisions
  • Keywords
    decision support systems; fuzzy set theory; α-cut; aggregated fuzzy utility ranking; fuzzy arithmetic operations; fuzzy decisions; fuzzy numbers; fuzzy weighted average method; generalized fuzzy numbers; ranking process; Area measurement; Arithmetic; Decision making; Fuzzy sets; Helium; Industrial engineering; Piecewise linear approximation; Piecewise linear techniques; Shape; Testing;
  • fLanguage
    English
  • Journal_Title
    Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4419
  • Type

    jour

  • DOI
    10.1109/3477.552183
  • Filename
    552183