Green Logistic Provider Selection with a Hesitant Fuzzy Linguistic Thermodynamic Method Integrating Cumulative Prospect Theory and PROMETHEE

Sustainability

Zeshui Xu¹  Di Wu¹  Huchang Liao¹  Peijia Ren¹  Yulong Huang¹  Mohit Verma² 

[1] Business School, Sichuan University, Chengdu 610064, China;CSIR-Structural Engineering Research Centre, Chennai 600113, India;

关键词: green logistics;    hesitant fuzzy linguistic term sets;    cumulative prospect theory;    hesitant fuzzy linguistic thermodynamic method;    PROMETHEE;   

DOI  :  10.3390/su10041291

来源: DOAJ

【 摘 要 】

In the process of evaluating the green levels of cold-chain logistics providers, experts may hesitate between several linguistic terms rather than give precise values over the alternatives. Due to the potential profit and risk of business decisions, decision-making information is often based on experts’ expectations of programs and is expressed as hesitant fuzzy linguistic terms. The consistency of evaluation information of an alternative can reflect the clarity of the alternative in the mind of experts and its own controversy. This paper proposes a method to use the value transfer function in the cumulative prospect theory to convert the original hesitant fuzzy linguistic terms into evaluation information based on reference points. We also introduce the parameters related to the disorder of the system in the hesitant fuzzy thermodynamic method to describe the quantity and quality characteristics of the alternatives. In these kinds of multi-criteria decision-making problems, the weights of criteria are of great importance for decision-making results. Considering the conflicting cases among criteria, the weights were obtained by utilizing the PROMETHEE method. An illustrative example concerning green logistics provider selection was operated to show the practicability of the proposed method.

【 授权许可】

Unknown