• DocumentCode
    2499775
  • Title

    Standard deviation method for determining the weights of group multiple attribute decision making under uncertain linguistic environment

  • Author

    Xu, Yejun ; Cai, Zhijian

  • Author_Institution
    Coll. of Econ. & Manage., Nanjing Forestry Univ., Nanjing
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    8311
  • Lastpage
    8316
  • Abstract
    The multi-attribute decision making problems are studied, in which the information about attribute weights is completely unknown and the attribute values take the form of uncertain linguistic variables. The concept of deviation degree between uncertain linguistic variables is defined. A formula of possibility degree for the comparison between uncertain linguistic variables is introduced and also some properties of the possible degree are also investigated. Based on the ideal that the attribute with a larger deviation value among alternatives should be evaluated a large weight, a method named standard deviation method is proposed to determine the weighting vector objectively. An illustrative example is examined using the proposed method. It is shown that the standard deviation method provides an effective way to determine the weights of the uncertain linguistic variables in group decision making.
  • Keywords
    decision making; decision theory; linguistics; group multiple attribute decision making; standard deviation method; uncertain linguistic environment; uncertain linguistic weighted averaging operator; Automation; Decision making; Decision theory; Educational institutions; Environmental economics; Environmental management; Forestry; Fuzzy sets; Intelligent control; Open wireless architecture; Group decision making; Standard deviation method; Uncertain linguistic variables; Uncertain linguistic weighted averaging (ULWA) operator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4594230
  • Filename
    4594230