A Decision-Making Method with Grey Multi-Source Heterogeneous Data and Its Application in Green Supplier Selection

• Main Authors: Huifang Sun, Yaoguo Dang, Wenxin Mao
• Format: Article
• Language: English
• Published: MDPI AG 2018-03-01
• Series: International Journal of Environmental Research and Public Health
• Subjects: grey multi-source heterogeneous data; kernel and greyness degree; multi-attribute decision making; green supplier selection
• Online Access: http://www.mdpi.com/1660-4601/15/3/446

In view of the multi-attribute decision-making problem that the attribute values are grey multi-source heterogeneous data, a decision-making method based on kernel and greyness degree is proposed. The definitions of kernel and greyness degree of an extended grey number in a grey multi-source heterogeneous data sequence are given. On this basis, we construct the kernel vector and greyness degree vector of the sequence to whiten the multi-source heterogeneous information, then a grey relational bi-directional projection ranking method is presented. Considering the multi-attribute multi-level decision structure and the causalities between attributes in decision-making problem, the HG-DEMATEL method is proposed to determine the hierarchical attribute weights. A green supplier selection example is provided to demonstrate the rationality and validity of the proposed method.