Affiliation of Author(s):经济与管理学院
Journal:INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
Key Words:grey multi-source heterogeneous data kernel and greyness degree multi-attribute decision making green supplier selection
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.
ISSN No.:1660-4601
Translation or Not:no
Date of Publication:2018-03-01
Co-author:Sun, Huifang
Correspondence Author:Sun, Huifang,dyg
Date of Publication:2018-03-01