Green supplier selection using fuzzy group decision making methods: A case study from the agri-food industry

2018 ◽  
Vol 89 ◽  
pp. 337-347 ◽  
Author(s):  
Narges Banaeian ◽  
Hossein Mobli ◽  
Behnam Fahimnia ◽  
Izabela Ewa Nielsen ◽  
Mahmoud Omid
2013 ◽  
Vol 13 (14) ◽  
pp. 2788-2794 ◽  
Author(s):  
Zhenhua Zhang ◽  
Jie Chen ◽  
Yong Hu ◽  
Jingyu Yang ◽  
Youpei Ye ◽  
...  

2021 ◽  
pp. 1-11
Author(s):  
Huiyuan Zhang ◽  
Guiwu Wei ◽  
Xudong Chen

The green supplier selection is one of the popular multiple attribute group decision making (MAGDM) problems. The spherical fuzzy sets (SFSs) can fully express the complexity and fuzziness of evaluation information for green supplier selection. Furthermore, the classic MABAC (multi-attributive border approximation area comparison) method based on the cumulative prospect theory (CPT-MABAC) is designed, which is an optional method in reflecting the psychological perceptions of decision makers (DMs). Therefore, in this article, we propose a spherical fuzzy CPT-MABAC (SF-CPT-MABAC) method for MAGDM issues. Meanwhile, considering the different preferences of DMs to attribute sets, we obtain the objective weights of attributes through entropy method. Focusing on the current popular problems, this paper applies the proposed method for green supplier selection and proves for green supplier selection based on SF-CPT-MABAC method. Finally, by comparing existing methods, the effectiveness of the proposed method is certified.


Sign in / Sign up

Export Citation Format

Share Document