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>

Credit Risk Evaluation of Chip Manufacturing Listed Companies Based on Fermatean Fuzzy VIKOR Method

Authors
Yu-tong Luo1, 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_29How to use a DOI?
Keywords
Fermatean Fuzzy; VIKOR; The Entropy Weight Method; Credit Risk Assessment
ABSTRACT

China's chip manufacturing technology has made great strides forward, and the study of credit risk of chip manufacturing listed companies can better perceive their risk status and provide more valuable decision-making information for both companies and investors. In response to the existing fuzzy language interpretation space is insufficient, this paper proposes a credit risk evaluation method based on Fermatean fuzzy VIKOR method. And the effectiveness of this method is demonstrated by example with the credit risk of chip manufacturing enterprises. First, the entropy weight method is applied to determine the attribute weight coefficients. Then, the decision matrix is evaluated by experts, and this evaluation needs to satisfy the Fermatean fuzzy constraint. Then, the VIKOR method is applied to rank the credit merits of the company in the Fermatean fuzzy environment. Finally, the Fermatean fuzzy and Pythagorean fuzzy VIKOR methods are compared. The results show that the Fermatean fuzzy VIKOR method has better differentiation and stronger credit risk assessment ability.

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_29
ISSN
2352-5428
DOI
10.2991/978-94-6463-194-4_29How 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  - Yu-tong Luo
AU  - Mu Zhang
PY  - 2023
DA  - 2023/07/21
TI  - Credit Risk Evaluation of Chip Manufacturing Listed Companies Based on Fermatean Fuzzy VIKOR Method
BT  - Proceedings of the 10th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2022)
PB  - Atlantis Press
SP  - 206
EP  - 212
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-194-4_29
DO  - 10.2991/978-94-6463-194-4_29
ID  - Luo2023
ER  -