基于贝叶斯网络推理的双重不确定信息集结模型

Abstract

Abstract: The decision making model of aggregating information based on Bayesian network is put forward aiming at a kind of uncertain multi-attribute decision making problems. The interval of each comprehensive evaluated value is calculated according to the information given by the decision maker. Then the expression of comprehensive evaluated value is inferred by the information of the Bayesian network. Finally, the comprehensive evaluated value of each alternative is calculated by the aggregated model of this paper. An example is presented and the validity and feasibility of this model is verified.

Key words: Bayesian network, uncertainty, multi-attribute decision making, aggregated model

CLC Number:

C934

HU Ming-li, ZHANG Cai-fen, ZHU Jian-jun. Research on a Aggregated Model of Double Uncertain Information based on Bayesian Network[J]. Chinese Journal of Management Science, 2014, 22(2): 135-141.

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Research on a Aggregated Model of Double Uncertain Information based on Bayesian Network

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