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

作者：Sun, Huifang^*; Dang, Yaoguo; Mao, Wenxin

来源：International Journal of Environmental Research and Public Health, 2018, 15(3): 446.

DOI：10.3390/ijerph15030446

• grey multi-source heterogeneous data
• kernel and greyness degree
• multi-attribute decision making
• green supplier selection

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.

• 出版日期2018-3
• 单位东南大学; 南京航空航天大学