SCIS & ISIS
SCIS & ISIS 2010
Session ID : SU-B1-1
Conference information
A Descriptive Decision-making Model under Uncertainty Using Dempster-Shafer Theory and Prospect Theory
*Elhum NusratKoichi Yamada
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Abstract
In this paper, a descriptive decision-making model under uncertainty has been introduced. At first, Evidential Decision Making Problem (EDMP) has been defined where Dempster-Shafer Theory has been used to represent uncertainty. Then we showed probability approximation approach of solving EDMP. For deciding the decision weights in different attitudes of decision maker, we have used Ordered Weighted Averaging (OWA) operator. Later on, we applied Prospect Theory to accomplish a descriptive decision-making model. To show the effectiveness of our approach, we have also provided a real life decision problem of choosing job from a set of alternatives.
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© 2010 Japan Society for Fuzzy Theory and Intelligent Informatics
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