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The Hierarchical Optimism Index Method for Decision Analysis under Uncertainty
Authors:FENG Junwen Nanjing University of Science  Technology  Nanjing
Affiliation:FENG Junwen Nanjing University of Science and Technology,Nanjing 210094
Abstract:As far as the uncertain decision analysis problems are concerned, a decision principle called Hierarchical Optimism Index Decision Principle is proposed, based on which a decision analysis method under uncertainty called Hierarchical Optimism Index Method labeled HOIM is developed, in which the hierarchical optimism index of the decision maker for the uncertaion states is obtained in an interactive way involving the dialogue between the decision analysis and the decision maker. Method HOIM has good decision making properties, can be widely applied to the routine decision problems, and is an important model and tool for the decision support system(DSS). Finally, a practical case study is given to illustrate the applicability of the method.
Keywords:decision analysis   decision principle   uncertainty analysis   decision support model   interactive method
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