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A likelihood-based multi-criteria sustainable supplier selection approach with complex preference information
Journal article   Peer reviewed

A likelihood-based multi-criteria sustainable supplier selection approach with complex preference information

Sepehr Hendiani, Huchang Liao, Ruxue Ren and Benjamin Lev
Information sciences, v 536
01 Oct 2020
DOI: https://doi.org/10.1016/j.ins.2020.05.065

Abstract

Computer Science Computer Science, Information Systems Science & Technology Technology
Interval type-2 fuzzy sets are more valuable than conventional type-1 fuzzy sets in terms of covering more uncertain and complex preference information. Interval type-2 trapezoidal fuzzy sets, as a particular form of interval type-2 fuzzy sets, can precisely express subjective evaluations and qualitative assessments. In this paper, the concept of the likelihoods of interval type-2 fuzzy preference relations are utilized to propose a novel multi-criteria decision-making model for the sustainable supplier selection problems in which the weights of criteria and performance ratings are expressed as interval type-2 trapezoidal fuzzy sets. A new likelihood-based multi-criteria sustainable supplier selection model is proposed by encapsulating assorted sustainability triple bottom line criteria, collected from the state-of-the-art literature, which turns this framework into a benchmark approach for the evaluations of sustainable suppliers. The practical effectiveness of the proposed likelihood-based method is illustrated by the applications to four real cases and the comparative analysis demonstrates the validation and advantages of the proposed method over conventional multi-criteria sustainable supplier selection methods. (C) 2020 Elsevier Inc. All rights reserved.

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