Electric vehicle satisfaction analysis model based on TOPSIS-entropy weight-grey relational analysis
Zeyu Zhu, Jiaming Peng, Xianghe Du, Zhenghong Gao · 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture · 2021
With the development of the new energy automobile industry, the measurement of various brand evaluation indicators has become an important factor in the development of the industry. In order to solve the problem of multi-index comprehensive evaluation, this paper proposes a combination model of TOPSIS-entropy weight-grey relational analysis. The experimental results show that in the comprehensive evaluation of electric vehicle brands and evaluation indicators, the model draws a conclusion from horizontal analysis of eight evaluation indicators: the indicator of electric vehicles that consumers care most about is power, followed by economy; longitudinal analysis can get three the overall score of each brand. At the same time, the TOPSIS-entropy weight-grey relational analysis combination model proposed in this paper provides a new possibility for solving the multi-index comprehensive evaluation problem.