DocumentCode :
2214489
Title :
Fuzzy Multiple Criteria Decision Making Method Based on Prospect Theory
Author :
Wang, Jian-Qiang ; Sun, Teng
Author_Institution :
Sch. of Bus., Central South Univ., Changsha
Volume :
1
fYear :
2008
fDate :
19-21 Dec. 2008
Firstpage :
288
Lastpage :
291
Abstract :
With regard to uncertain multi-criteria decision-making problems, in which the criteria values of alternatives are in the form of trapezoidal fuzzy numbers and the criteria weights are completely known, a prospect value function of trapezoidal fuzzy numbers based on risk attitudes of decision makers is defined, and the preference function in PROMETHEE method is replaced by the possibility degree of prospect value function of trapezoidal fuzzy numbers. Then a new preference function with risk attitudes of decision maker and an improved PROMETHEE II method based on prospect theory are proposed. The new preference function takes into consideration that the decision maker has preference on alternatives which not always varies with criteria values linearly or stepwise but varies with his or her subjective feelings in the real decision-making problems, and the method extends the form of preference function and better reflects the decision makerpsilas preference. Finally, an example is given to show the feasibility and availability of the method proposed above.
Keywords :
decision making; decision theory; fuzzy set theory; operations research; risk management; PROMETHEE method; fuzzy multiple criteria decision making method; prospect theory; risk attitude; trapezoidal fuzzy numbers; Capacity planning; Decision making; Finance; Industrial engineering; Information management; Innovation management; Pricing; Psychology; Sun; Uncertainty; PROMETHEE? method; fuzzy multiple criteria decision making; preference function; prospect theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Management, Innovation Management and Industrial Engineering, 2008. ICIII '08. International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-0-7695-3435-0
Type :
conf
DOI :
10.1109/ICIII.2008.229
Filename :
4737546
Link To Document :
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