Research on Credit Portfolio Evaluation of Metaverse Listed Companies Based on the Fuzzy Borda Method

Abstract

To objectively evaluate the credit level of Metaverse listed companies, this paper constructs a credit evaluation index system for Metaverse listed companies from five aspects: profitability, solvency, growth ability, operational ability, and the ability to introduce technological innovation, and select 12 listed companies in 2021. Based on the relevant financial data of Metaverse listed companies, based on the multi-criteria decision-making problem Fermat's fuzzy TOPSIS method and the hesitant fuzzy language PROMETHEE multi-attribute decision-making method, the credit levels of 12 Metaverse listed companies were calculated respectively, and then the fuzzy Borda method was used to compare the two. The evaluation results of a single method are combined to obtain a combined evaluation result. Compared with the single method, the combined evaluation results have higher confidence. The final results show that GoerTek, Longli Technology, Changxin Technology, and Xinguodu 4 listed companies in the Metaverse are ranked high and have good credit levels. From the perspective of banks, they can be given priority when choosing to issue loans.