a novel multiperson game approach for linguistic multicriteria decision making problems

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ID: 172703
2014
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Abstract
Game theory is considered as an efficient framework in dealing with decision making problems for two players in the competitive environment. In general, the evaluation values of payoffs matrix are expressed by crisp values in a game model. However, many uncertainties and vagueness should be considered due to the qualitative criteria and the subjective judgment of decision makers in the decision making process. The aim of this study is to develop an effective methodology for solving the payoffs matrix with linguistic variables by multiple decision makers in a game model. Based on the linguistic variables, the decision makers can easily express their opinions with respect to criteria for each alternative. By using the linear programming method, we can find the optimal solution of a game matrix in accordance with the combination of strategies of each player effectively. In addition, the expected performance value (EPV) index is defined in this paper to compare the competition ability of each player based on the optimal probability of each strategy combination. And then, numerical example will be implemented to illustrate the computation process of the proposed model. The conclusion and future research are discussed at the end of this paper.
Reference Key
lin2014mathematicala Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Ching-San Lin, Chen-Tung Chen, Farn-Shing Chen, Wei-Zhan Hung
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Journal journal of power sources
Year 2014
DOI
10.1155/2014/592326
URL
http://dx.doi.org/10.1155/2014/592326
Keywords
civil engineering (general)mathematics engineering (general)

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