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
Link To Document :
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