• DocumentCode
    2559771
  • Title

    Dynamic linguistic weighted geometric mean operator and its application to multiple periods decision making

  • Author

    Wei, Guiwu ; Wang, Xiaorong

  • Author_Institution
    Dept. of Econ. & Manage., Chongqing Univ. of Arts & Sci., Chongqing
  • fYear
    2008
  • fDate
    2-4 July 2008
  • Firstpage
    1909
  • Lastpage
    1912
  • Abstract
    With respect to multiple periods multiple attribute decision making problems with multiplicative linguistic preference relations. Definition and some operational laws of linguistic variables are introduced, and two new operators called dynamic linguistic geometric mean (DLGM) operator and dynamic linguistic weighted geometric mean (DLWGM) operator are presented. A model based on DLWGM and DLGM operators is developed to solve the multiple periods multiple attribute decision making problems which the attribute values takes the form of multiplicative linguistic preference relations collected t different periods. Then the DLWGM operator is utilized to aggregate the overall 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; dynamic linguistic weighted geometric mean operator; multiple attribute decision making; multiple periods decision making; multiplicative linguistic preference relations; Decision making; Dynamic linguistic geometric mean (DLGM) operator; Dynamic linguistic weighted geometric mean (DLWGM) operator; Multiple periods multiple attribute decision making; Multiplicative linguistic preference relations; Operational laws;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2008. CCDC 2008. Chinese
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-1733-9
  • Electronic_ISBN
    978-1-4244-1734-6
  • Type

    conf

  • DOI
    10.1109/CCDC.2008.4597657
  • Filename
    4597657