<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper introduces a novel financial evaluation framework combining deep learning, hierarchical analysis, and fuzzy comprehensive evaluation to form the AHP-fuzzy comprehensive model. This model is designed to refine financial analysis by constructing precise evaluation indexes and determining weight values, specifically tailored for the financial management of private enterprises. Through a case study on Enterprise A, focusing on solvency, operational efficiency, and cash flow, we observed significant trends: a decline in the quick ratio from 0.92 in 2017 to 0.49 in 2021, a decrease in the accounts payable turnover ratio from 2.58 in 2017 to 2.01 in 2020, and a concerning downward trend in the cash to current liabilities ratio, culminating in −11.30% in 2020. These findings validate the effectiveness of the AHP-fuzzy comprehensive evaluation model in providing nuanced financial assessments for private enterprises.</p>
</abstract>

This paper introduces a novel financial evaluation framework combining deep learning, hierarchical analysis, and fuzzy comprehensive evaluation to form the AHP-fuzzy comprehensive model. This model is designed to refine financial analysis by constructing precise evaluation indexes and determining weight values, specifically tailored for the financial management of private enterprises. Through a case study on Enterprise A, focusing on solvency, operational efficiency, and cash flow, we observed significant trends: a decline in the quick ratio from 0.92 in 2017 to 0.49 in 2021, a decrease in the accounts payable turnover ratio from 2.58 in 2017 to 2.01 in 2020, and a concerning downward trend in the cash to current liabilities ratio, culminating in −11.30% in 2020. These findings validate the effectiveness of the AHP-fuzzy comprehensive evaluation model in providing nuanced financial assessments for private enterprises.

Construction of fuzzy mathematical model for judging financial indexes of private enterprises under the perspective of deep learning

Jiangxi University of Software Professional Technology

Philippine Christian University Center for International Education

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This paper introduces a novel financial evaluation framework combining deep learning, hierarchical analysis, and fuzzy comprehensive evaluation to form the...

Construction of fuzzy mathematical model for judging financial indexes of private enterprises under the perspective of deep learning

Online veröffentlicht: 03. Mai 2024

Seitenbereich: -

Eingereicht: 18. Apr. 2024

Akzeptiert: 23. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-0922

Schlüsselwörter
Deep learning, Hierarchical analysis, Fuzzy comprehensive evaluation, Financial evaluation

© 2024 Min Li et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Construction of fuzzy mathematical model for judging financial indexes of private enterprises under the perspective of deep learning

Online veröffentlicht: 03. Mai 2024

Seitenbereich: -

Eingereicht: 18. Apr. 2024

Akzeptiert: 23. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-0922

SchlüsselwörterDeep learning, Hierarchical analysis, Fuzzy comprehensive evaluation, Financial evaluation

© 2024 Min Li et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Deep learning, Hierarchical analysis, Fuzzy comprehensive evaluation, Financial evaluation