影像模糊环境下基于证据合成的冷链物流服务供应商选择方法

Selection Method of Cold Chain Logistics Service Suppliers Based on Evidence Combination under Picture Fuzzy Environment

摘要: 针对评价信息为影像模糊数的冷链物流服务供应商选择问题，本文基于证据理论提出了影像模糊多属性群决策方法。首先，将决策者给出的影像模糊评价信息转化为证据信息，并根据证据冲突程度的不同选择相应的证据融合规则，对冷链物流服务供应商评价信息进行融合，求得群体影像模糊决策矩阵。然后，将传统灰色关联分析法拓展至影像模糊环境下，以实现所有备选冷链物流服务供应商的排序及择优。最后，通过算例分析说明所提出方法的可行性。

Abstract: With respect to cold chain logistics service supplier selection problems in which the assessment values of attributes are denoted by picture fuzzy numbers, based on evidence theory, this paper proposes a picture fuzzy multiple attribute group decision making method. Firstly, the picture fuzzy evaluation information is transformed into evidence information, and then according to the conflict degree of evidence, the corresponding evidence combination rule is determined to aggregate the evaluation values of cold chain logistics service suppliers and the group picture fuzzy decision matrix is constructed. Then, by extending the traditional grey relational analysis method into picture fuzzy environment, the ranking of all feasible cold chain logistics service suppliers is obtained and the best supplier is selected. Finally, the numerical example is provided to illustrate the feasibility of the proposed method.