• DocumentCode
    477684
  • Title

    Dynamic Uncertain Linguistic Weighted Geometric Mean Operator

  • Author

    Wei, Guiwu ; Lin, Rui

  • Author_Institution
    Dept. of Econ. & Manage., Chongqing Univ. of Arts & Sci., Chongqing
  • Volume
    1
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    254
  • Lastpage
    258
  • Abstract
    With respect to multiple periods multiple attribute decision making problems with uncertain multiplicative linguistic preference relations. Definition and some operational laws of uncertain linguistic variables are introduced, and two new operators called dynamic uncertain linguistic geometric mean (DULGM) operator and dynamic uncertain linguistic weighted geometric mean (DULWGM) operator are presented. A model based on DULWGM and DULGM operators is developed to solve the multiple periods multiple attribute decision making problems which the attribute values takes the form of uncertain multiplicative linguistic preference relations collected in different periods. Then the DULWGM and DULGM operators are utilized to aggregate the overall uncertain multiplicative linguistic preference corresponding to each alternative, and then rank the alternatives and select the most desirable one(s). Finally, an illustrative example is given to verify the developed approach and to demonstrate its practicality and effectiveness.
  • Keywords
    computational linguistics; decision making; mathematical operators; uncertain systems; dynamic uncertain linguistic geometric mean operator; dynamic uncertain linguistic weighted geometric mean operator; multiple attribute decision making problem; uncertain linguistic variables; uncertain multiplicative linguistic preference relations; Aggregates; Art; Conference management; Decision making; Fuzzy systems; Knowledge management; Open wireless architecture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
  • Conference_Location
    Shandong
  • Print_ISBN
    978-0-7695-3305-6
  • Type

    conf

  • DOI
    10.1109/FSKD.2008.579
  • Filename
    4665979