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

Huifang Sun, Yaoguo Dang and Wenxin Mao
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Huifang Sun: College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
Yaoguo Dang: College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
Wenxin Mao: School of Economics and Management, Southeast University, Nanjing 211189, China

IJERPH, 2018, vol. 15, issue 3, 1-24

Abstract: 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.

Keywords: grey multi-source heterogeneous data; kernel and greyness degree; multi-attribute decision making; green supplier selection (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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