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Article type: Research Article
Authors: Xu, Xue-Guo1 | Shi, Hua1 | Cui, Feng-Bao2; 3; * | Quan, Mei-Yun1
Affiliations: [1] School of Management, Shanghai University, Shanghai 200444, PR China | [2] Department of Economics & Management, Yibin University, Yibin 644007, PR China | [3] School of Economics and Management, Tongji University, Shanghai 200092, PR China. E-mails: [email protected], [email protected], [email protected], [email protected]
Correspondence: [*] Corresponding author.
Abstract: In this paper, we investigate green supplier evaluation and selection problems within the interval 2-tuple linguistic environment. Based on the operational laws and comparison rule of interval 2-tuple linguistic variables, we develop some new aggregation operators, such as the interval 2-tuple hybrid averaging (ITHA) operator, the interval 2-tuple ordered weighted averaging-weighted averaging (ITOWAWA) operator and the interval 2-tuple hybrid geometric (ITHG) operator. Then, an approach for green supplier evaluation and selection under the context of interval 2-tuple linguistic variables is proposed based on the developed interval 2-tuple linguistic hybrid aggregation operators. Finally, a practical application to the green supplier selection problem of an automobile manufacturer is presented to reveal the potentiality and aptness of the proposed green supplier selection approach. According to the findings, the supplier number ‘five’ got the highest rank, out of the five alternative green suppliers. The approach proposed in this paper may help managers and business professionals to evaluate and select the optimal green supplier by considering the importance degrees of both the given arguments and their ordered positions. Furthermore, it is able to take different scenarios into account and provide a more complete picture to the decision maker by using different hybrid aggregation operators.
Keywords: green supply chain management, supplier selection, interval 2-tuple linguistic variables, aggregation operator
Journal: Informatica, vol. 29, no. 4, pp. 801-824, 2018
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