Journal article
A likelihood-based multi-criteria sustainable supplier selection approach with complex preference information
Information sciences, v 536
01 Oct 2020
Abstract
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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Details
- Title
- A likelihood-based multi-criteria sustainable supplier selection approach with complex preference information
- Creators
- Sepehr Hendiani - Iran University of Science and TechnologyHuchang Liao - Sichuan UniversityRuxue Ren - Sichuan UniversityBenjamin Lev - Drexel University
- Publication Details
- Information sciences, v 536
- Publisher
- Elsevier
- Number of pages
- 21
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Decision Sciences (and Management Information Systems)
- Web of Science ID
- WOS:000556340600008
- Scopus ID
- 2-s2.0-85085733104
- Other Identifier
- 991019168881604721
InCites Highlights
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Information Systems