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提出一种基于扩展原理的混合证据推理不确定决策模型.通过α截集将同一决策问题中各属性使用的精确数、区间数和模糊数等异构评估信度统一分解为区间结构,采用区间证据推理方法求解各隶属度下的效用区间,并按隶属度次序重组方案效用;化简模糊数质心公式,并用于模糊定量评估的信度计算和方案模糊效用的排序;最后,通过具体实例验证了所提出方法的有效性和可行性.将该方法在算例中的适用情况进行比较和分析,结果表明所提出的方法具有良好的适应性.
This paper proposes an uncertain decision model of mixed evidence reasoning based on extended principle.According to α-cut sets, the accuracy of heterogeneous evaluation such as exact number, interval number and fuzzy number of each attribute in the same decision-making problem is decomposed into interval structure, Evidence reasoning method is used to solve the utility interval under each membership degree, and the utility of the program is reorganized according to the membership degree. The fuzzy centroid formula is simplified and used to calculate the reliability of the fuzzy quantitative evaluation and the ranking of the fuzzy utility. Finally, The effectiveness and feasibility of the proposed method are compared and analyzed in the case of the application, the results show that the proposed method has good adaptability.