Abstract
In financial systems, many concepts or attributes are often unclear, and in economic operations, there are also many factors that are beyond human control and difficult to define. However, these uncertain factors play a non-negligible role in ensuring the smooth operation of a system. In this paper, we analyze the financial system from the perspective of fuzzy mathematics. In the use of online survey data, mainly adopts the fuzzy comprehensive evaluation method, combined with multi-level analysis method and expert investigation method, with reference to satisfaction, feasibility, and other indicators, to judge and statistically analyze the selected financial system and establish a reasonable fuzzy evaluation model. This paper selects the credit status assessment of enterprises when commercial banks conduct credit business as the object and establishes an index system by analyzing the financial data indicators of enterprises, the previous financial status of the enterprises, and the data quality of credit reference system to propose a new method for the evaluation of the financial system and provide a scientific basis for the improvement and optimization of the financial system.
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Recommender: Renjie Hu, Associate Professor, Guangdong University of Foreign Studies in China.
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Tian-hui, Y., Bing-yuan, C. (2024). Fuzzy Analysis Model of Financial System -- Application in Credit Risk of Commercial Banks. In: Cao, BY., Wang, SF., Nasseri, H., Zhong, YB. (eds) Intelligent Systems and Computing. ICFIE 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 207. Springer, Singapore. https://doi.org/10.1007/978-981-97-2891-6_31
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DOI: https://doi.org/10.1007/978-981-97-2891-6_31
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