The purpose of this paper is to propose a three-way group decision-making approach to address the selection of green supplier, by extending decision-theoretic rough set (DTRS) into hesitant fuzzy linguistic (HFL) environment, considering the flexible evaluation expression format of HFL term set (HFLTS) and the idea of minimum expected risk in DTRS.
Specifically, the authors first present the calculation method of the conditional probability and discuss the loss functions of DTRS with HFL element (HFLE), along with some associated properties being investigated in detail. Further, three-way group decisions rules can be deduced, followed by the cost of every green supplier candidate. Thus, based on these discussions, a novel green supplier selection DTRS model that combines multi-criteria group decision-making (MCGDM) and HFLTS is designed.
A numerical example of green supplier selection, the comparative analysis and associated discussions are conducted to illustrate the applicability and novelty of the presented model.
The selection of green supplier has played a critically strategic role in sustainable enterprise development due to continuous environmental concerns. This paper offers an insight for companies to select green supplier selection from the perspective of three-way group decisions.
This paper uses three-way decisions to address green supplier selection in the HFL context, which is considered as a MCGDM issue.
The work was partly supported by the National Natural Science Foundation of China (71571090, 61772019), the National Science Foundation of Shaanxi Province of China (2017JM7022) and the Fundamental Research Funds for the Central Universities (22120190116).
Ma, W., Lei, W. and Sun, B. (2020), "Three-way group decisions under hesitant fuzzy linguistic environment for green supplier selection", Kybernetes, Vol. 49 No. 12, pp. 2919-2945. https://doi.org/10.1108/K-09-2019-0602
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