New Energy Vehicle Industry Chain Evaluation by Developing Decision-Making Methodology with HyperSoft Set and Neutrosophic Sets

Abstract

The New Energy Vehicle (NEV) industry has emerged as a crucial sector in the global 
transition toward sustainable transportation. This study proposed a decision-making 
methodology for NEV industry chain evaluation. We used two decision making methods, such 
as SWARA method to compute the criteria weights and the MAIRCA method to rank the 
alternatives. These methods are used under the neutrosophic sets to deal with uncertainty data. 
Then we used the HyperSoft Set to show the relationship between the criteria and their values. 
This study proves the validation of the proposed approach by applying the proposed approach 
in case study. Four experts are invited in this study to evaluate six criteria and seven alternatives. 
Comparative analysis between our method and other methods shows the effectiveness of the 
proposed approach. Sensitivity analysis is conducted to show the stability of the ranks of the 
proposed approach. 

DOI: 10.5281/zenodo.14942106