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Green Supplier Selection Mechanism Based on Information Environment of Z-Numbers

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成果类型:
期刊论文
作者:
Rao, Congjun;Gao, Mingyun;Goh, Mark;Xiao, Xinping
通讯作者:
Gao, Mingyun(gaomyhnu@163.com)
作者机构:
[Rao, Congjun; Xiao, Xinping] Wuhan Univ Technol, Sch Sci, Wuhan 430070, Peoples R China.
[Gao, Mingyun] Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.
[Goh, Mark] Natl Univ Singapore, NUS Business Sch, Singapore 119623, Singapore.
[Goh, Mark] Natl Univ Singapore, Logist Inst Asia Pacific, Singapore 119623, Singapore.
通讯机构:
[Mingyun Gao] S
School of Information Management, Central China Normal University, Wuhan, People’s Republic of China
语种:
英文
关键词:
Multi-attribute decision making;Green supplier selection;Z-numbers;Possibility degree
期刊:
Cognitive Computation
ISSN:
1866-9956
年:
2023
卷:
15
期:
2
页码:
520-533
基金类别:
This work is supported by the National Natural Science Foundation of China (nos. 72071150, 71671135, 71871174).
机构署名:
本校为其他机构
院系归属:
信息管理学院
摘要:
In the green procurement management of firms, by rigorously evaluating and selecting suppliers, firms can effectively reduce the operation risk and improve the sustainable value-added capacity of supply chain. This paper designs a novel green supplier selection mechanism based on an uncertain information environment. First, a new green supplier evaluation index system is designed by considering the economic, environmental, and social drivers from the perspective of sustainable development. Then, the Z-numbers are applied to describe the fuzzine...

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