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Approach to stochastic multi-attribute decision problems using rough sets theory 被引量:8

Approach to stochastic multi-attribute decision problems using rough sets theory
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摘要 Multi-attribute decision problems where the performances of the alternatives are random variables are considered. The suggested approach grades the probabilities of preference of one alternative over another with respect to the same attribute. Based on the graded probabilistic dominance relation, the pairwise comparison information table is defined. The global preferences of the decision maker can be seen as a rough binary relation. The present paper proposes to approximate this preference relation by means of the graded probabilistic dominance relation with respect to the subsets of attributes. At last, the method is illustrated by an example. Multi-attribute decision problems where the performances of the alternatives are random variables are considered. The suggested approach grades the probabilities of preference of one alternative over another with respect to the same attribute. Based on the graded probabilistic dominance relation, the pairwise comparison information table is defined. The global preferences of the decision maker can be seen as a rough binary relation. The present paper proposes to approximate this preference relation by means of the graded probabilistic dominance relation with respect to the subsets of attributes. At last, the method is illustrated by an example.
出处 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2006年第1期103-108,共6页 系统工程与电子技术(英文版)
关键词 stochastic multi-attribute decision making rough sets graded probabilistic diminance relation decision rules. stochastic multi-attribute decision making, rough sets, graded probabilistic diminance relation, decision rules.
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