一种基于证据理论和模糊距离的融合方法

针对决策支持系统中专家不确定性意见难以融合的问题。本文提出了一种基于证据理论和模糊距离相结合的决策融合方法。首先运用模糊距离方法来获得专家的权重和属性指标的相对权重,并对专家决策中由于主观认识的局限性带来的不确定性问题进行了研究。然后运用DS证据理论识别框架计算出概率分配函数,并对所有方案进行排序选择,得出最终的决策融合意见。最后,通过实验表明,运用此方法对不确定性信息的融合具有很好的可行性和有效性。

Information Fusion Method Based On Proof Theory and Fuzzy Distance

To the problem of exert uncertainty view is hard to fusion in decision support system. This paper proposes a compromise based on evidence theory and fuzzy distance ideas to decision fusion. Firstly applying fuzz distance method obtains the expert weight and property index relative weight, to the problem of the subjective views of expert decision-making uncertain is studied. And then using DS evidence theory recognition framework calculate the probability distribution function, sort and select all programs, to obtain the final decision fusion view. At last, Examples show that the method is reasonable and efficient for integration of decision-making uncertain information.