A Novel Integrated Approach for Green Supplier Selection with Interval-Valued Intuitionistic Uncertain Linguistic Information: A Case Study in the Agri-Food Industry

Hua Shi, Mei-Yun Quan, Hu-Chen Liu and Chun-Yan Duan
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Hua Shi: School of Management, Shanghai University, Shanghai 200444, China
Mei-Yun Quan: School of Management, Shanghai University, Shanghai 200444, China
Hu-Chen Liu: School of Management, Shanghai University, Shanghai 200444, China
Chun-Yan Duan: School of Economics and Management, Tongji University, Shanghai 200092, China

Sustainability, 2018, vol. 10, issue 3, 1-18

Abstract: With strengthening global consciousness of environmental protection, green supply chain management plays an increasingly important role in modern enterprise production operation management. A critical means to implement green supply chain management is incorporating environmental requirements into the supplier selection practices. In this paper, we put forward a novel integrated approach by using interval-valued intuitionistic uncertain linguistic sets (IVIULSs) and grey relational analysis (GRA)-technique for order preference by similarity to ideal solution (TOPSIS) method for the evaluation and selection of green suppliers. First, various qualitative assessments of alternatives provided by decision makers are described by the IVIULSs. Then, the GRA-TOPSIS method is extended and employed to prioritize the alternative suppliers. The proposed model can handle the uncertainty and fuzziness of decision makers’ subjective evaluations more easily and get a more realistic and accurate ranking of green suppliers. Finally, an illustrative example in the agri-food industry is presented to verify the proposed green supplier selection model and demonstrate its practicality and effectiveness.

Keywords: supply chain management; green supplier selection; interval-valued intuitionistic uncertain linguistic set; GRA-TOPSIS method; agri-food industry (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (16)

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