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Green Supplier Selection Using Improved TOPSIS and Best-Worst Method Under Intuitionistic Fuzzy Environment

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成果类型:
期刊论文
作者:
Tian, Zhang-Peng;Zhang, Hong-Yu;Wang, Jian-Qiang*;Wang, Tie-Li
通讯作者:
Wang, Jian-Qiang
作者机构:
[Tian, Zhang-Peng; Zhang, Hong-Yu; Wang, Jian-Qiang] Cent S Univ, Sch Business, Changsha 410083, Hunan, Peoples R China.
[Wang, Tie-Li] Univ South China, Management Sch, Hengyang 421001, Peoples R China.
通讯机构:
[Wang, Jian-Qiang] C
Cent S Univ, Sch Business, Changsha 410083, Hunan, Peoples R China.
语种:
英文
关键词:
best-worst method;group decision-making;intuitionistic fuzzy sets;supplier selection
期刊:
Informatica
ISSN:
0868-4952
年:
2018
卷:
29
期:
4
页码:
773-800
机构署名:
本校为其他机构
摘要:
Green supplier selection has recently become one of the key strategic considerations in green supply chain management, due to regulatory requirements and market trends. It can be regarded as a multi-criteria group decision-making (MCGDM) problem, in which a set of alternatives are evaluated with respect to multiple criteria. MCGDM methods based on Analytic Hierarchy Process (AHP) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) are widely used in solving green supplier selection problems. However, the classic AHP must...

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