Thus far, limited research has been performed on resilient supplier selection - a problem that requires simultaneous consideration of a set of numerical and linguistic evaluation criteria, which are substantially different from traditional supplier selection problem. Essentially, resilient supplier selection entails key sourcing decision for an organization to gain competitive advantage. In the presence of multiple conflicting evaluation criteria, contradicting decision makers, and imprecise decision relevant information (DRI), this problem becomes even more difficult to solve with the classical optimization approaches. However, prior research focusing on MCDA based supplier selection problem has been lacking in the ability to provide a seamless integration of numerical and linguistic evaluation criteria along with the consideration of multiple decision makers. To address these challenges, we present a comprehensive decision-making framework for ranking a set of suppliers from resiliency perspective. The proposed algorithm is capable of leveraging imprecise and aggregated DRI obtained from crisp numerical assessments and reliability adjusted linguistic appraisals from a group of decision makers. We adapt two popular tools - Single Valued Neutrosophic Sets (SVNS) and Interval-valued fuzzy sets (IVFS), and for the first time extend them to incorporate both crisp and linguistic evaluations in a group decision making platform to obtain aggregated SVNS and IVFS decision matrix. This information is then used to rank the resilient suppliers by using TOPSIS method. We present a case study to illustrate the mechanism of the proposed algorithm.

中文翻译：

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针对供应商弹性选择问题的基于可能性分布的多准则决策算法

到目前为止，关于弹性供应商选择的研究很少，这个问题需要同时考虑一组数值和语言评估标准，这与传统的供应商选择问题大不相同。从本质上讲，灵活的供应商选择需要关键的采购决策，以使组织获得竞争优势。在存在多个相互矛盾的评估标准，决策者相互矛盾以及决策信息不精确的情况下，使用经典的优化方法解决该问题变得更加困难。然而，以前基于MCDA的供应商选择问题的研究一直缺乏提供数字和语言评估标准的无缝集成以及考虑多个决策者的能力。为了应对这些挑战，我们提供了一个全面的决策框架，可以从弹性的角度对一组供应商进行排名。所提出的算法能够利用从一组决策者的清晰数字评估和经可靠性调整的语言评估中获得的不精确和汇总的DRI。我们采用了两种流行的工具-单值中智集（SVNS）和区间值模糊集（IVFS），并首次将它们扩展为在团队决策平台中纳入清晰和语言的评估，从而获得汇总的SVNS和IVFS决策矩阵。然后，使用TOPSIS方法将此信息用于对弹性供应商进行排名。我们提供一个案例研究来说明所提出算法的机制。