Supplier Evaluation in Green Supply Chain: An Adaptive Weight D-S Theory Model Based on Fuzzy-Rough-Sets-AHP Method


Lianhui Li, Guanying Xu, Hongguang Wang, Journal of Information Processing Systems
Vol. 15, No. 3, pp. 655-669, Jun. 2019
10.3745/JIPS.04.0118
Keywords: adaptive weight, D-S Theory, Fuzzy-Rough-Sets-AHP, Green Supply Chain, Supplier Evaluation
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Abstract

Supplier evaluation is of great significance in green supply chain management. Influenced by factors such as economic globalization, sustainable development, a holistic index framework is difficult to establish in green supply chain. Furthermore, the initial index values of candidate suppliers are often characterized by uncertainty and incompleteness and the index weight is variable. To solve these problems, an index framework is established after comprehensive consideration of the major factors. Then an adaptive weight D-S theory model is put forward, and a fuzzy-rough-sets-AHP method is proposed to solve the adaptive weight in the index framework. The case study and the comparison with TOPSIS show that the adaptive weight D-S theory model in this paper is feasible and effective.


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Cite this article
[APA Style]
Lianhui Li, Guanying Xu, & Hongguang Wang (2019). Supplier Evaluation in Green Supply Chain: An Adaptive Weight D-S Theory Model Based on Fuzzy-Rough-Sets-AHP Method. Journal of Information Processing Systems, 15(3), 655-669. DOI: 10.3745/JIPS.04.0118.

[IEEE Style]
L. Li, G. Xu and H. Wang, "Supplier Evaluation in Green Supply Chain: An Adaptive Weight D-S Theory Model Based on Fuzzy-Rough-Sets-AHP Method," Journal of Information Processing Systems, vol. 15, no. 3, pp. 655-669, 2019. DOI: 10.3745/JIPS.04.0118.

[ACM Style]
Lianhui Li, Guanying Xu, and Hongguang Wang. 2019. Supplier Evaluation in Green Supply Chain: An Adaptive Weight D-S Theory Model Based on Fuzzy-Rough-Sets-AHP Method. Journal of Information Processing Systems, 15, 3, (2019), 655-669. DOI: 10.3745/JIPS.04.0118.