Work

A Novel Todim Based on Prospect Theory to Select Green Supplier With Q-rung Orthopair Fuzzy Set

Year: 2020

Type: article

Abstract: Green supply chain has developed rapidly due to the advocacy of ecological civilization, and choosing a proper green supplier is a crucial issue. Considering the fuzziness of evaluation information and the psychological states of decision makers (DMs) in selecting process, a novel TODIM based on prospect theory with q-rung orthopair fuzzy set (q-ROFS) is proposed. The novel TODIM concerns both the perceived transformed probability weighting function and the differences in risk attitudes. A new distance, which concerns the herd mentality, is carried out to measure the perceived difference of the q-ROFS. Besides, a new systematic evaluation index system, named as PCEM (Product, Cooperation ability, Environment, Market), has been established. A case related to pork supplier companies is presented and fully demonstrates the effectiveness of the novel TODIM when compared with the extended one, the intuitionistic fuzzy TODIM, the Pythagorean fuzzy TODIM as well as the TOPSIS with q-ROFS. Finally, a series of comparative analyses illustrate the advantages of the proposed TODIM.

Source: Technological and Economic Development of Economy

DOI: 10.3846/tede.2020.12736

Authors: Xiaoli Tian, Meiling Niu, Weike Zhang, Lanhao Li, Enrique Herrera-Viedma

Institutions: Southwestern University of Finance and Economics, Central University of Finance and Economics, Sichuan University, University of Southern California, Universidad de Granada

Language: English

Topic: Multi-Criteria Decision Making

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDG: Responsible consumption and production

Open Access status: gold

Estimated APC paid: $727