Affiliations: School of Economics and Management, Northwestern University, Xi’An, Shanxi, China
Correspondence:
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Corresponding author. Yun Tong, School of Economics and Management, Northwestern University, Xi’An, Shanxi, China. Tel./Fax: +86 0558 2551592; E-mail: [email protected].
Abstract: Today, with the development of economic globalization, the quality competition between enterprises has extended to the supply chain. If the enterprises want to get sustainable development, the traditional closed “Vertical Integration” mode needs to be changed; “Horizontal Integration” has become the inevitable choice of enterprises. With the development of performance management and supply chain technology, the combination of the two and focusing on the green supply chain quality management under low-carbon agricultural economy environment have become the hot topics in both academic area and practical area. In this paper, we study on the multiple attribute decision making problems to estimate the green supply chain performance under low-carbon agricultural economy environment with 2-tuple linguistic information. Then, we propose the 2-tuple power Einstein weighted geometric (2TPEWG) operator for aggregating 2-tuple linguistic information, and then apply 2TPEWG operator for evaluating the green supply chain performance under low-carbon agricultural economy environment with 2-tuple linguistic information. In the end, we propose an example to test the effectiveness of our proposed method.
Keywords: Multiple attribute decision making, 2-tuple linguistic information, power geometric operator, 2-tuple power Einstein weighted geometric (2TPEWG) operator, performance evaluation, green supply chain
