A dynamic generalized fuzzy multi-criteria croup decision making approach for green supplier segmentation
Supplier selection and segmentation are crucial tasks of companies in order to reduce costs and increase the competitiveness of their goods. To handle uncertainty and dynamicity in the supplier segmentation problem, this research thus proposes a new dynamic generalized fuzzy multi-criteria group dec...
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| Veröffentlicht in: | PloS one 2021-01, Vol.16 (1), p.e0245187-e0245187 |
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| creator | Duc, Do Anh Van, Luu Huu Yu, Vincent F Chou, Shuo-Yan Hien, Ngo Van Chi, Ngo The Toan, Dinh Van Dat, Luu Quoc |
| description | Supplier selection and segmentation are crucial tasks of companies in order to reduce costs and increase the competitiveness of their goods. To handle uncertainty and dynamicity in the supplier segmentation problem, this research thus proposes a new dynamic generalized fuzzy multi-criteria group decision making (MCGDM) approach from the aspects of capability and willingness and with respect to environmental issues. The proposed approach defines the aggregated ratings of alternatives, the aggregated weights of criteria, and the weighted ratings by using generalized fuzzy numbers with the effect of time weight. Next, we determine the ranking order of alternatives via a popular centroid-index ranking approach. Finally, two case studies demonstrate the efficiency of the proposed dynamic approach. The applications show that the proposed appoach is effective in solving the MCGDM in vague environment. |
| doi_str_mv | 10.1371/journal.pone.0245187 |
| format | Article |
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The applications show that the proposed appoach is effective in solving the MCGDM in vague environment.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0245187</identifier><identifier>PMID: 33493184</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Biology and Life Sciences ; Component and supplier management ; Computer and Information Sciences ; Croup ; Data analysis ; Decision Making ; Decision-making, Group ; Economic analysis ; Economics ; Editing ; Electronic mail ; Engineering and Technology ; Fuzzy algorithms ; Fuzzy Logic ; Fuzzy systems ; Industrial management ; Management ; Methodology ; Methods ; Models, Theoretical ; Multiple criterion ; Production costs ; Reviews ; Science and technology ; Segmentation ; Social Sciences ; Suppliers ; Technology ; Uncertainty ; Vendor relations ; Visualization</subject><ispartof>PloS one, 2021-01, Vol.16 (1), p.e0245187-e0245187</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>2021 Duc et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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supplier segmentation</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2021-01-25</date><risdate>2021</risdate><volume>16</volume><issue>1</issue><spage>e0245187</spage><epage>e0245187</epage><pages>e0245187-e0245187</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Supplier selection and segmentation are crucial tasks of companies in order to reduce costs and increase the competitiveness of their goods. To handle uncertainty and dynamicity in the supplier segmentation problem, this research thus proposes a new dynamic generalized fuzzy multi-criteria group decision making (MCGDM) approach from the aspects of capability and willingness and with respect to environmental issues. The proposed approach defines the aggregated ratings of alternatives, the aggregated weights of criteria, and the weighted ratings by using generalized fuzzy numbers with the effect of time weight. Next, we determine the ranking order of alternatives via a popular centroid-index ranking approach. Finally, two case studies demonstrate the efficiency of the proposed dynamic approach. The applications show that the proposed appoach is effective in solving the MCGDM in vague environment.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>33493184</pmid><doi>10.1371/journal.pone.0245187</doi><tpages>e0245187</tpages><orcidid>https://orcid.org/0000-0001-8340-0189</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Biology and Life Sciences Component and supplier management Computer and Information Sciences Croup Data analysis Decision Making Decision-making, Group Economic analysis Economics Editing Electronic mail Engineering and Technology Fuzzy algorithms Fuzzy Logic Fuzzy systems Industrial management Management Methodology Methods Models, Theoretical Multiple criterion Production costs Reviews Science and technology Segmentation Social Sciences Suppliers Technology Uncertainty Vendor relations Visualization |
| title | A dynamic generalized fuzzy multi-criteria croup decision making approach for green supplier segmentation |
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