基于区间值中智软集合的突发事件下弹性供应商选择方法研究

Resilient Supplier Selection Method Based on Interval-Valued Neutrosophic Soft Sets with Emergencies

针对突发事件下存在的诸多不确定性,进一步解决弹性供应商的选择问题,提出一种基于前景理论的区间值中智软集合的群决策方法。首先,采用区间值中智软集合表示突发事件下存在复杂不确定和冲突信息的供应商弹性评价;其次,提出区间值中智软集合的确定程度、冲突程度以及邻近度测度方法,并基于此运用熵权法分别得到专家权重,参数客观权重和参数综合权重;最后,结合考虑专家心理偏好的前景理论,构建弹性供应商选择的群决策方法。通过实例验证了所提方法的可行性和优越性。

In order to solve the problem of resilient supplier selection in the uncertain environment caused by emergencies, a group decision making method based on interval-valued neutrosophic soft sets and the prospect theory is proposed. First of all, the interval-valued neutrosophic soft sets is used to represent the resilient suppliers evaluations which are uncertain and conflicting with emergencies. Secondly, based on interval-valued neutrosophic soft sets, the determination degree, conflict degree and proximity measurement method are proposed. On this basis, the entropy weight method is used to obtain the expert weight, the objective parameter weight and the comprehensive parameter weight. Finally, a group decision making method for resilient supplier selection is constructed based on the prospect theory considering the psychological preference of experts.The feasibility and superiority of the proposed method are verified through examples.