• DocumentCode
    2437452
  • Title

    Multi-Criteria Decision-Making Method Based on Vague Number Similarity with Incomplete Certain Information

  • Author

    Wang Jian-qiang ; Qin Yu-zhi

  • Author_Institution
    Sch. of Bus., Central South Univ., Changsha
  • Volume
    2
  • fYear
    2008
  • fDate
    19-20 Dec. 2008
  • Firstpage
    225
  • Lastpage
    230
  • Abstract
    Trapezoidal vague numbers and similarity between two trapezoidal vague numbers are defined. And their properties are studied. A fuzzy multi-criteria decision making method with incomplete certain information on weights is proposed. This method extends TOPSIS to fuzzy multi-criteria decision-making. Based on the principle that the best alternative should have the largest similarity to the ideal and the least similarity to the anti-ideal, the weights of the alternatives can be obtained and the ranking can be determined. An example shows the proposed method is reasonable and effective.
  • Keywords
    decision making; fuzzy set theory; operations research; fuzzy multicriteria decision making method; similarity methods; trapezoidal vague numbers; Computational intelligence; Computer industry; Conferences; Decision making; Fuzzy reasoning; Fuzzy set theory; Fuzzy sets; Set theory; Uncertainty; Variable structure systems; TOPSIS method; incomplete information; multi-criteria decision making; trapezoidal vague numbers; vague number similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3490-9
  • Type

    conf

  • DOI
    10.1109/PACIIA.2008.300
  • Filename
    4756769