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中文摘要：
针对一类不确定多属性决策问题，提出了基于贝叶斯网络推理的信息集结决策模型。根据决策依据信息，建立了决策方案综合属性值优劣的范围估计模型；由影响方案属性的因素构成的贝叶斯网络拓扑结构图，建立了基于贝叶斯推理的方案综合属性值确定模型；基于两类信息的内在关联性，提出了两种结果集结的最大相似度模型，最后得出方案综合属性值，算例表明基于贝叶斯网络推理的双重不确定信息集结模型是有效的。
英文摘要：
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 com- prehensive evaluated value of each alternative is calculated by the aggregated model of this paper. An ex- ample is presented and the validity and feasibility of this model is verified.
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