• DocumentCode
    2409401
  • Title

    Application DIFWG operator to select supplier with intuitionistic fuzzy information

  • Author

    Wang, Hongjun ; Wei, Guiwu

  • Author_Institution
    Dept. of Econ. & Manage., Chongqing Univ. of Arts & Sci., Chongqing, China
  • fYear
    2009
  • fDate
    15-16 May 2009
  • Firstpage
    394
  • Lastpage
    397
  • Abstract
    With respect to multiple periods multiple attribute decision making problems with intuitionistic fuzzy information, some operational laws, score function and accuracy function of intuitionistic fuzzy numbers are introduced, and a new operator called dynamic intuitionistic fuzzy weighted geometric (DIFWG) operator is presented. A model based on DIFWG operator is developed to solve the multiple periods multiple attribute decision making problems where all the decision making information about attribute values takes the form of intuitionistic fuzzy numbers collected t different periods. Then the intuitionistic fuzzy weighted geometric (IFWG) operator is utilized to aggregate the overall intuitionistic fuzzy information corresponding to each alternative, and then rank the alternatives and select the most desirable one(s) according to the score function and accuracy function. Finally, an illustrative example about supplier selection is given to verify the developed approach and to demonstrate its practicality and effectiveness.
  • Keywords
    formal logic; fuzzy set theory; dynamic intuitionistic fuzzy weighted geometric operator; intuitionistic fuzzy information; intuitionistic fuzzy numbers; multiple attribute decision making; multiple periods decision making; Aggregates; Art; Automation; Conference management; Decision making; Fuzzy sets; Industrial economics; Mechatronics; dynamic intuitionistic fuzzy weighted geometric (DIFWG) operator; intuitionistic fuzzy numbers; operational laws; supplier selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Mechatronics and Automation, 2009. ICIMA 2009. International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-3817-4
  • Type

    conf

  • DOI
    10.1109/ICIMA.2009.5156646
  • Filename
    5156646