International Journal of Computational Intelligence Systems

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Volume 13, Issue 1, 2020, Pages 1120 - 1133

Sustainable Supplier Selection Based on Regret Theory and QUALIFLEX Method

Authors
Limei Liu1, 2, Zhongli Bin1, 2, Biao Shi1, 2, *, Wenzhi Cao1, 2
1Base of International Science and Technology Innovation and Cooperation on Big Data Technology and Management, Hunan University of Technology and Business, 569, YueLu Avenue, Changsha, 410205, Hunan, P.R. China
2Key Laboratory of Hunan Province for New Retail Virtual Reality Technology, Hunan University of Technology and Business, 569, YueLu Avenue, Changsha, 410205, Hunan, P.R. China
*Corresponding author. Email: 2698@hnuc.edu.cn
Corresponding Author
Biao Shi
Received 28 December 2019, Accepted 27 July 2020, Available Online 10 August 2020.
DOI
10.2991/ijcis.d.200730.001How to use a DOI?
Keywords
Sustainable supplier selection; Bounded rantionality; 2-dimension at uncertain linguistic variable; Regret theory; QUALIFLEX
Abstract

Sustainable supplier selection is the essential core of sustainable supply chain management, which can directly influence the manufacturer's performance and can enormously enhance the manufacturer's competitiveness in the international market. However, most of the previous studies concerning sustainable supplier selection have less focused on the reliability of the decision-makers judgments and the application of regret theory. To fill this gap, we presented an integrated sustainable supplier selection model based on regret theory and QUALItative FLEXible multiple criteria method (QUALIFLEX) under a 2-dimensional uncertain linguistic variable (2-DULV) environment. In the proposed model, 2-DULV including the reliability of evaluation information is employed to handle the uncertainty and vagueness of decision-makers judgments. A similarity-based method is used to derive the decision-makers' weight, and a maximizing deviation model is established to calculate the weights of evaluation criteria. Then an improved QUALIFLEX method based on regret theory is presented to obtain the ranking order of sustainable suppliers. The proposed approach integrates both the superiority of 2-DULV in effectively handling the uncertainty, vagueness, and reliability of evaluation information and the merit of regret theory in dealing with decision-maker's bounded rationality. Finally, a numerical example concerning an automobile manufacturer is provided to validate the effectiveness and feasibility of the presented model.

Copyright
© 2020 The Authors. Published by Atlantis Press B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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<Previous Article In Issue
Next Article In Issue>
Journal
International Journal of Computational Intelligence Systems
Volume-Issue
13 - 1
Pages
1120 - 1133
Publication Date
2020/08/10
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.d.200730.001How to use a DOI?
Copyright
© 2020 The Authors. Published by Atlantis Press B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Limei Liu
AU  - Zhongli Bin
AU  - Biao Shi
AU  - Wenzhi Cao
PY  - 2020
DA  - 2020/08/10
TI  - Sustainable Supplier Selection Based on Regret Theory and QUALIFLEX Method
JO  - International Journal of Computational Intelligence Systems
SP  - 1120
EP  - 1133
VL  - 13
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.200730.001
DO  - 10.2991/ijcis.d.200730.001
ID  - Liu2020
ER  -