Early Warning Analysis of Company’s Financial Risk based on Fuzzy Evaluation Method

Yang Long

2022

Abstract

With the rapid development of the automotive industry, there are more and more uncertainties in the production and operation process, which makes the possibility of financial risks increasing day by day. Therefore, risk identification and prevention are particularly important for enterprises, especially in the rapidly developing and promising automotive industry. Taking Company A as an example, this paper firstly analyzes the nature and characteristics of the industry, the company’s production and operation, financial data and other information to extract financial risk assessment indicators and establish a financial early warning indicator system. Secondly, the financial risk early warning model is constructed by combining the hierarchical analysis method (AHP) and fuzzy evaluation method, and finally, the established financial risk early warning model is analyzed based on the financial data of Company A in recent years. The study aims to improve the financial risk early warning capability of the enterprise, which is a contribution to the field.

Paper Citation

in Harvard Style

Long Y. (2022). Early Warning Analysis of Company’s Financial Risk based on Fuzzy Evaluation Method. In Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM, ISBN 978-989-758-593-7, pages 669-674. DOI: 10.5220/0011207900003440

in Bibtex Style

@conference{bdedm22,
author={Yang Long},
title={Early Warning Analysis of Company’s Financial Risk based on Fuzzy Evaluation Method},
booktitle={Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,},
year={2022},
pages={669-674},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011207900003440},
isbn={978-989-758-593-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,
TI - Early Warning Analysis of Company’s Financial Risk based on Fuzzy Evaluation Method
SN - 978-989-758-593-7
AU - Long Y.
PY - 2022
SP - 669
EP - 674
DO - 10.5220/0011207900003440