Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
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Supplier Evaluation in Green Supply Chain: An Adaptive Weight D-S Theory Model Based on Fuzzy-Rough-Sets-AHP Method

  • Li, Lianhui (Ningxia Key Laboratory of Intelligent Information and Big Data Processing, North Minzu University) ;
  • Xu, Guanying (Ningxia Key Laboratory of Intelligent Information and Big Data Processing, North Minzu University) ;
  • Wang, Hongguang (The 713th Research Institute of China Shipbuilding Industry Corporation)
  • Received : 2017.10.20
  • Accepted : 2018.05.17
  • Published : 2019.06.30
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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.

Keywords

E1JBB0_2019_v15n3_655_f0001.png 이미지

Fig. 1. The index framework.

Table 1. Initial index value

E1JBB0_2019_v15n3_655_t0001.png 이미지

Table 2. The tendency degree form of initial index value

E1JBB0_2019_v15n3_655_t0002.png 이미지

Table 3. The weighted index value matrix

E1JBB0_2019_v15n3_655_t0003.png 이미지

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