An integrated multi-criteria decision-making framework for sustainable supplier selection under picture fuzzy environment

Sustainable supplier selection (SSS) is an important part of sustainable supply chain management (SSCM). In this paper, an integrated multi-criteria decision-making (MCDM) framework, based on the picture fuzzy exponential entropy, and the VIsekriterijumska optimizacija i KOmpromisno Resenje (VIKOR)...

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Main Authors: Juan-juan Peng, Chao Tian, Wen-yu Zhang, Shuai Zhang, Jian-qiang Wang
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2020-06-01
Series:Technological and Economic Development of Economy
Subjects:
Online Access:https://journals.vgtu.lt/index.php/TEDE/article/view/12110
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author Juan-juan Peng
Chao Tian
Wen-yu Zhang
Shuai Zhang
Jian-qiang Wang
author_facet Juan-juan Peng
Chao Tian
Wen-yu Zhang
Shuai Zhang
Jian-qiang Wang
author_sort Juan-juan Peng
collection DOAJ
description Sustainable supplier selection (SSS) is an important part of sustainable supply chain management (SSCM). In this paper, an integrated multi-criteria decision-making (MCDM) framework, based on the picture fuzzy exponential entropy, and the VIsekriterijumska optimizacija i KOmpromisno Resenje (VIKOR) method, is proposed to manage SSS problems. Firstly, the evaluation criteria of SSS, including economic, environmental and social, is established. This can be evaluated in the form of the actual data or linguistic terms provided by suppliers and experts respectively in an actual decision-making process. Then, according to the translated scales, all the evaluation information can be converted into picture fuzzy numbers (PFNs). Secondly, the picture fuzzy exponential entropy is defined. Moreover, based on the entropy’s minimization principle, the defined picture fuzzy exponential entropy is used to determine the weight of the SSS’s criteria. Thirdly, the extended VIKOR method, which combines the grey correlation coefficient, is utilized to select a suitable supplier. This method avoids the shortcomings of the traditional VIKOR method in data mining and solves the conflict between SSS criteria. Finally, the feasibility and effectiveness of the proposed integrated decision framework are verified by an experiment, as well as a sensitivity analysis and comparative analysis. First published online 28 February 2020
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spelling doaj.art-cb7b6fcdb1c74d55b4d89474a814a7e82022-12-21T20:12:54ZengVilnius Gediminas Technical UniversityTechnological and Economic Development of Economy2029-49132029-49212020-06-0126310.3846/tede.2020.12110An integrated multi-criteria decision-making framework for sustainable supplier selection under picture fuzzy environmentJuan-juan Peng0Chao Tian1Wen-yu Zhang2Shuai Zhang3Jian-qiang Wang4School of Information, Zhejiang University of Finance & Economics, 310018 Hangzhou, ChinaSchool of Information, Zhejiang University of Finance & Economics, 310018 Hangzhou, ChinaSchool of Information, Zhejiang University of Finance & Economics, 310018 Hangzhou, ChinaSchool of Information, Zhejiang University of Finance & Economics, 310018 Hangzhou, ChinaSchool of Business, Central South University, 410083 Changsha, ChinaSustainable supplier selection (SSS) is an important part of sustainable supply chain management (SSCM). In this paper, an integrated multi-criteria decision-making (MCDM) framework, based on the picture fuzzy exponential entropy, and the VIsekriterijumska optimizacija i KOmpromisno Resenje (VIKOR) method, is proposed to manage SSS problems. Firstly, the evaluation criteria of SSS, including economic, environmental and social, is established. This can be evaluated in the form of the actual data or linguistic terms provided by suppliers and experts respectively in an actual decision-making process. Then, according to the translated scales, all the evaluation information can be converted into picture fuzzy numbers (PFNs). Secondly, the picture fuzzy exponential entropy is defined. Moreover, based on the entropy’s minimization principle, the defined picture fuzzy exponential entropy is used to determine the weight of the SSS’s criteria. Thirdly, the extended VIKOR method, which combines the grey correlation coefficient, is utilized to select a suitable supplier. This method avoids the shortcomings of the traditional VIKOR method in data mining and solves the conflict between SSS criteria. Finally, the feasibility and effectiveness of the proposed integrated decision framework are verified by an experiment, as well as a sensitivity analysis and comparative analysis. First published online 28 February 2020https://journals.vgtu.lt/index.php/TEDE/article/view/12110sustainable supplier selectionmulti-criteria decision-makingpicture fuzzy numbersVIKORexponential entropy
spellingShingle Juan-juan Peng
Chao Tian
Wen-yu Zhang
Shuai Zhang
Jian-qiang Wang
An integrated multi-criteria decision-making framework for sustainable supplier selection under picture fuzzy environment
Technological and Economic Development of Economy
sustainable supplier selection
multi-criteria decision-making
picture fuzzy numbers
VIKOR
exponential entropy
title An integrated multi-criteria decision-making framework for sustainable supplier selection under picture fuzzy environment
title_full An integrated multi-criteria decision-making framework for sustainable supplier selection under picture fuzzy environment
title_fullStr An integrated multi-criteria decision-making framework for sustainable supplier selection under picture fuzzy environment
title_full_unstemmed An integrated multi-criteria decision-making framework for sustainable supplier selection under picture fuzzy environment
title_short An integrated multi-criteria decision-making framework for sustainable supplier selection under picture fuzzy environment
title_sort integrated multi criteria decision making framework for sustainable supplier selection under picture fuzzy environment
topic sustainable supplier selection
multi-criteria decision-making
picture fuzzy numbers
VIKOR
exponential entropy
url https://journals.vgtu.lt/index.php/TEDE/article/view/12110
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