Research on Credit Risk Evaluation of Big Data Enterprises Based on Fuzzy DEA
Jie Ren, Hong Mei Zhang
Available Online 12 April 2021.
- https://doi.org/10.2991/aebmr.k.210409.034How to use a DOI?
- Fuzzy DEA, big data enterprise, credit risk
- The development of big data enterprises in China is still in its infancy, and there is a big gap between China and foreign countries in terms of technology and credit risk evaluation. In this context, based on the research of big data enterprises, this paper uses principal component analysis and correlation analysis to screen the credit risk evaluation indicators of big data enterprises, and uses fuzzy DEA method to evaluate the credit risk of big data enterprises. Finally, empirical analysis is carried out to evaluate the credit risk of big data enterprises.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Jie Ren AU - Hong Mei Zhang PY - 2021 DA - 2021/04/12 TI - Research on Credit Risk Evaluation of Big Data Enterprises Based on Fuzzy DEA BT - Proceedings of the 9th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2020) PB - Atlantis Press SP - 217 EP - 222 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.210409.034 DO - https://doi.org/10.2991/aebmr.k.210409.034 ID - Ren2021 ER -