Research on financial risk assessment of company based on fuzzy hierarchy analysis method

With the deepening of economic globalization, Chinas economy and the global economy are becoming increasingly interdependent and closely linked, resulting in a more complex environment for domestic enterprises and heightened financial risks. To enhance the risk resilience of enterprises, the research methods for assessing financial risks are becoming more diverse. Traditional financial risk analysis methods, such as the single-argument model, have certain limitations in the practical application of enterprise financial risk evaluation. These methods cannot overcome the restrictions of time, region, and industry, and their application value is not fully realized. To better assist enterprises in addressing the complexities of financial risks, fuzzy hierarchical analysis is applied to the traditional hierarchical analysis method under fuzzy optimization conditions. This method focuses on indices of measurable comparability, facilitating a more reasonable and objective financial risk evaluation of enterprises, especially when comparing different companies in the new energy vehicle industry and conducting a longitudinal comparison of Company A. Fuzzy hierarchical analysis integrates qualitative judgment with quantitative analysis, using triangular fuzzy numbers to generate a judgment matrix. The results are transformed into an objective fuzzy set, enabling the quantification and structuring of complex system indicators and improving the rationality and accuracy of the enterprises financial risk evaluation.

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Publication Details

Journal
Advances in Operation Research and Production Management
Published
2025-05-26
DOI
https://doi.org/10.54254/3029-0880/2025.22393
Citations
1
Primary Topic
Banking, Crisis Management, COVID-19 Impact
Type
article
Field-Weighted Citation Impact
4.83
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article

Research on financial risk assessment of company based on fuzzy hierarchy analysis method

Shibo Zhang
1 citations
Advances in Operation Research and Production Management
Banking, Crisis Management, COVID-19 Impact
4.83
article

Research on financial risk assessment of company based on fuzzy hierarchy analysis method

Shibo Zhang
article en
1 citations

Abstract

With the deepening of economic globalization, Chinas economy and the global economy are becoming increasingly interdependent and closely linked, resulting in a more complex environment for domestic enterprises and heightened financial risks. To enhance the risk resilience of enterprises, the research methods for assessing financial risks are becoming more diverse. Traditional financial risk analysis methods, such as the single-argument model, have certain limitations in the practical application of enterprise financial risk evaluation. These methods cannot overcome the restrictions of time, region, and industry, and their application value is not fully realized. To better assist enterprises in addressing the complexities of financial risks, fuzzy hierarchical analysis is applied to the traditional hierarchical analysis method under fuzzy optimization conditions. This method focuses on indices of measurable comparability, facilitating a more reasonable and objective financial risk evaluation of enterprises, especially when comparing different companies in the new energy vehicle industry and conducting a longitudinal comparison of Company A. Fuzzy hierarchical analysis integrates qualitative judgment with quantitative analysis, using triangular fuzzy numbers to generate a judgment matrix. The results are transformed into an objective fuzzy set, enabling the quantification and structuring of complex system indicators and improving the rationality and accuracy of the enterprises financial risk evaluation.

Advances in Operation Research and Production ManagementVol. 4(1)
The University of Melbourne (AU)
Openalex Percentile: Top 6%
Banking, Crisis Management, COVID-19 Impact
4.83
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Research on financial risk assessment of company based on fuzzy hierarchy analysis method — Shibo Zhang · Advances in Operation Research and Production Management (2025) | TGRS Research Map | TGRS