• DocumentCode
    1824518
  • Title

    Linguistic set-valued decision making based on LWA operator

  • Author

    Zhang, Xuezheng ; Zhu, Qian ; Pei, Zheng

  • Author_Institution
    Sch. of Math. & Comput. Engneering, Univ. of Xihua, Chengdu, China
  • fYear
    2010
  • fDate
    7-10 Dec. 2010
  • Firstpage
    2353
  • Lastpage
    2356
  • Abstract
    In linguistic group decision analysis, we need to solve group decision making with uncertain linguistic information. By analyzing many illustrative example, we notice that not all of linguistic values of the initial linguistic expression domain are used to evaluate decision making problem. From the decision making point of view, linguistic values used by experts have priority over others linguistic values in evaluating results of alternatives. In this paper, we formalize the priority as priority weight vector of linguistic values, and propose a new linguistic weighted aggregation operator (LWA operator) to aggregate linguistic set-valued, in which, two weight vectors (weight vector of experts and priority weight vector of linguistic values) are considered in LWA operator, its properties show that LWA operator is generalization of many existed linguistic aggregation operator. By an illustrative example, we show that LWA operator can help us to gather more information to linguistic set-valued decision making.
  • Keywords
    computational linguistics; decision making; fuzzy set theory; knowledge representation; LWA operator; decision making; linguistic group decision analysis; linguistic value; linguistic weighted aggregation; Aggregates; Databases; Decision making; Fuzzy sets; Open wireless architecture; Personnel; Pragmatics; computing with words; linguistic aggregation operator; linguistic group decision making;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2010 IEEE International Conference on
  • Conference_Location
    Macao
  • ISSN
    2157-3611
  • Print_ISBN
    978-1-4244-8501-7
  • Electronic_ISBN
    2157-3611
  • Type

    conf

  • DOI
    10.1109/IEEM.2010.5674338
  • Filename
    5674338