• DocumentCode
    1957360
  • Title

    Fuzzy measures and integrals as aggregation operators: solving the commensurability problem

  • Author

    Modave, François ; Kreinovich, Vladik

  • Author_Institution
    Dept. of Comput. Sci., Texas Univ., El Paso, TX, USA
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    292
  • Lastpage
    297
  • Abstract
    The aim of this paper is to shed light on the use of fuzzy measures and integrals as aggregation operators in multicriteria decision making. These techniques have been widely used on an ad hoc basis, but with no axiomatization. It is possible to obtain preference representation theorems in multicriteria decision making problems, relying on a formal parallelism between decision under uncertainty and multicriteria decision making. Though, it raises some commensurability problems. In this paper, we show how to obtain an axiomatization of multicriteria decision making problems, in a very natural way, and we show how to solve the commensurability problem in a particular case.
  • Keywords
    decision theory; fuzzy set theory; integration; operations research; aggregation operators; axiomatization; commensurability problems; fuzzy integrals; fuzzy measures; multicriteria decision making; preference representation theorems; uncertainty; Decision making; Decision theory; Fuzzy sets; Multidimensional systems; Stock markets; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society, 2002. Proceedings. NAFIPS. 2002 Annual Meeting of the North American
  • Print_ISBN
    0-7803-7461-4
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2002.1018072
  • Filename
    1018072