Proceedings of the 10th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2022)

<Previous Article In Volume
Next Article In Volume>

Research on Credit Evaluation of Metaverse Listed Companies Based on Hesitant Fuzzy Language PROMETHEE Method

Authors
Yi-fan Fu1, 2, Mu Zhang1, *
1School of Big Data Application and Economics, Guizhou University of Finance and Economics, Guiyang, China
2Guizhou Institution for Technology Innovation & Entrepreneurship Investment, Guizhou University of Finance and Economics, Guiyang, China
*Corresponding author. Email: zhangmu01@163.com
Corresponding Author
Mu Zhang
Available Online 21 July 2023.
DOI
10.2991/978-94-6463-194-4_9How to use a DOI?
Keywords
Metaverse Listed Company; Credit Evaluation; Hesitant Fuzzy Language Set; PROMETHEE Method
ABSTRACT

To objectively evaluate the credit level of Metaverse listed companies, this paper introduces technological innovation capability into the index system, and constructs the credit evaluation index of Metaverse listed companies from five aspects: profitability, solvency, growth capability, operational capability, and technological innovation capability. The system, and select the relevant financial data of the 12 Metaverse listed companies in 2021, based on the hesitant fuzzy language set theory, adopts the PROMETHEE multi-attribute decision-making method, and uses the priority function to measure the credit level of the 12 Metaverse listed companies. The empirical research results show that the four listed companies in Metaverse, Goertek, Changxin Technology, Longli Technology, and Xinguodu, have relatively high net flows and good credit levels. From the perspective of banks, when choosing to issue loans, they can give priority to .

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 10th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2022)
Series
Advances in Economics, Business and Management Research
Publication Date
21 July 2023
ISBN
10.2991/978-94-6463-194-4_9
ISSN
2352-5428
DOI
10.2991/978-94-6463-194-4_9How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yi-fan Fu
AU  - Mu Zhang
PY  - 2023
DA  - 2023/07/21
TI  - Research on Credit Evaluation of Metaverse Listed Companies Based on Hesitant Fuzzy Language PROMETHEE Method
BT  - Proceedings of the 10th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2022)
PB  - Atlantis Press
SP  - 55
EP  - 61
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-194-4_9
DO  - 10.2991/978-94-6463-194-4_9
ID  - Fu2023
ER  -