• DocumentCode
    2654521
  • Title

    Multi-attribute Decision-Making Model Based on Grey Game Theory with Mixed Strategy

  • Author

    Wang, Chen ; Chen, Jun

  • Author_Institution
    Southeast Univ., Nanjing
  • fYear
    2009
  • fDate
    22-24 Jan. 2009
  • Firstpage
    752
  • Lastpage
    756
  • Abstract
    As for the multi-attribute decision-making problem, most common methods used based on AHP are imprecise and complicated for taking weights of indices into account. The paper introduces game theory avoiding the discussion of weights which are inevitable in the normal decision-making model like AHP, DEA, and ANP, FUZZY and so on. Then it combines grey theory to establish a grey game theory model to solve the multi-attribute decision. Analyzing the corresponding theory of the grey game theory, it transforms the model into grey linear programming and gives the answer with mixed strategy which can be validated when iterated elimination of strictly dominated strategy fails. At last, it verifies the feasibility of the model with the given example.
  • Keywords
    decision making; decision theory; game theory; linear programming; AHP; grey game theory; grey linear programming; multi attribute decision-making model; Aggregates; Data envelopment analysis; Decision making; Equations; Failure analysis; Fuzzy sets; Fuzzy systems; Game theory; Linear programming; Statistical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Control, 2009. ICACC '09. International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-3330-8
  • Type

    conf

  • DOI
    10.1109/ICACC.2009.103
  • Filename
    4777443