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

Abstract

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.

Green Supplier Selection Based on Consensus Process and Integrating Prioritized Operator and Choquet Integral

“…Yazdani et al [43] presented a synthetical approach for green supplier selection by combining the decision-making trial and evaluation laboratory method, quality function deployment model, and complex proportional assessment. Liao et al [12] put forward a hesitant fuzzy linguistic thermodynamic approach to deal with green supplier selection by combining cumulative prospect theory and PROMETHEE (Preference Ranking Organization METHod for Enrichment Evaluation) method. Banaeian et al [44] applied the VIKOR, GRA, and TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) approaches to study a green supplier selection issue in the agri-food industry, and a comparison analysis between the three methods was carried out.…”

Fuzzy Parameterized Hesitant F uzzy Linguistic Term Soft Sets FPHFLTSSs i n Multi Criteria Decision Making

“…Usually, the length of the linguistic hesitant fuzzy element is different in practical application. The method suggested in [32] adds some linguistic hesitant fuzzy element to a shortening linguistic hesitant fuzzy element that is equal to another. Some researchers may agree that the original data structure is destroyed and the information is changed.…”

A Decision Framework under a Linguistic Hesitant Fuzzy Set for Solving Multi-Criteria Group Decision Making Problems

“…Later, Rodriguez et al [13] presented a study on different fuzzy linguistic models and claimed that HFLTS is a powerful concept for modeling uncertainty in preference elicitation. Further, motivated by the ability of HFLTS (as discussed in Reference [13]) in modeling complex linguistic terms, many scholars [14][15][16][17][18][19][20][21][22][23] presented new theories and concepts under the HFLTS context. Though the HFLTS circumvents the issue of LTS, it is not able to properly reflect the hesitancy and vagueness of the DM.…”