University Financial Early Warning Model Based on Fuzzy Comprehensive Evaluation

Shuhua Tsao, Haiqin Wen and Naeem Jan

Mathematical Problems in Engineering, 2022, vol. 2022, 1-7

Abstract: With the reform of the higher education system, schools and universities have transitioned from risk-free management to current risk management, and financial risk has become a concern that every college and university must address. In recent years, how to effectively forewarn colleges and universities for financial risk, as well as how to prevent and control financial risk at colleges and universities, has been a hot topic. Firstly, this study analyzes the process of model construction, including introducing the basic information of the model, determining the factor level, establishing the weight set and the alternative set, the first-grade fuzzy comprehensive evaluation, and the second-grade fuzzy comprehensive evaluation. Secondly, with the financial data of our school in 2020 and 2021 as samples, the fuzzy comprehensive evaluation and early warning model of university financial risk is used to comprehensively evaluate its financial status. Finally, according to the causes and types of financial risks in universities and combined with the analysis results of the fuzzy comprehensive evaluation model of our school’s financial situation, the study gives the relevant measures to prevent and control the financial risks in universities and carries on a detailed analysis and explanation of each measure. The construction and implementation of a financial early warning model in colleges and universities can effectively avoid and reduce the financial risk of colleges and universities, which has certain research value.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:9799366

DOI: 10.1155/2022/9799366

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