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Link to original content: https://api.crossref.org/works/10.3233/JIFS-230117
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Therefore, choosing suppliers with sustainable development capabilities, especially in the event of interruption, can ensure the stability of the entire supply chain, thereby enhancing the company\u2019s image and competitive advantage in a large-scale competition. The sustainable supplier selection is a classical multiple attribute group decision making (MAGDM) issues. In this study, the dual probabilistic linguistic EDAS (DPL-EDAS) method is built based on the traditional EDAS method and dual probabilistic linguistic term sets (DPLTSs). Firstly, the DPLTSs is introduced. Then, combine the traditional EDAS method with DPLTSs information, the DPL-EDAS method is established and the computing steps for MAGDM are built. Finally, there are a numerical case involving sustainable supplier selection and some comparisons in this paper. The comparisons are used to illustrate advantages of DPL-EDAS method.<\/jats:p>","DOI":"10.3233\/jifs-230117","type":"journal-article","created":{"date-parts":[[2023,3,24]],"date-time":"2023-03-24T16:28:17Z","timestamp":1679675297000},"page":"9495-9512","source":"Crossref","is-referenced-by-count":1,"title":["Sustainable supplier selection by using dual probabilistic linguistic EDAS and ITARA method"],"prefix":"10.1177","volume":"44","author":[{"given":"Zeyuan","family":"Wang","sequence":"first","affiliation":[{"name":"School of Business, Sichuan Normal University, Chengdu, P.R. China"}]},{"given":"Qiang","family":"Cai","sequence":"additional","affiliation":[{"name":"School of Business, Sichuan Normal University, Chengdu, P.R. China"}]},{"given":"Jianping","family":"Lu","sequence":"additional","affiliation":[{"name":"School of Business, Sichuan Normal University, Chengdu, P.R. 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