Research on the Comprehensive Evaluation System for Corporate Financial Condition Quality Based on Entropy Weight and Fuzzy Logic

The assessment of a firm’s economic health is critical and is the cornerstone of sound corporate control and informed investment choices. This paper ambitions to cope with the restrictions of conventional monetary evaluation strategies, which frequently hostilities to seize the dynamic and complicated nature of economic statistics. Our modern approach combines the entropy weight approach with fuzzy common sense to provide a greater nuanced and complete assessment of corporate economic situations. The entropy weight method efficiently quantifies the significance of numerous monetary signs, accordingly decreasing the subjectivity usually encountered in conventional evaluations. however, its reliance on quantitative records can occasionally oversimplify complex monetary states. Fuzzy logic, on the other hand, lets in for a qualitative interpretation of economic indicators, supplying a greater rounded perspective. with the aid of integrating these two methodologies, our method leverages the entropy weight technique to envision the significance of every economic indicator, even as fuzzy logic gives a cultured assessment of these indicators. Experimental effects confirm the superiority of this hybrid method, showcasing its potential to yield greater accurate and robust evaluations of company monetary fitness as compared to traditional methods. This provides the field of economic evaluation with an advanced but practical analytical tool specifically designed to cope with the complexity of monetary facts and to provide insightful and actionable checks.

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Publication Details

Journal
International Journal of High Speed Electronics and Systems
Published
2025-02-18
DOI
https://doi.org/10.1142/s0129156425402219
Primary Topic
Evaluation and Optimization Models
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on the Comprehensive Evaluation System for Corporate Financial Condition Quality Based on Entropy Weight and Fuzzy Logic

Jing Li, Lijun Luo, Chuanfeng Yang, Y.F. Peng C. Wu et al.
International Journal of High Speed Electronics and Systems
Evaluation and Optimization Models
article

Research on the Comprehensive Evaluation System for Corporate Financial Condition Quality Based on Entropy Weight and Fuzzy Logic

Jing Li, Lijun Luo, Chuanfeng Yang, Y.F. Peng C. Wu, S.G. Ma
article en

Abstract

The assessment of a firm’s economic health is critical and is the cornerstone of sound corporate control and informed investment choices. This paper ambitions to cope with the restrictions of conventional monetary evaluation strategies, which frequently hostilities to seize the dynamic and complicated nature of economic statistics. Our modern approach combines the entropy weight approach with fuzzy common sense to provide a greater nuanced and complete assessment of corporate economic situations. The entropy weight method efficiently quantifies the significance of numerous monetary signs, accordingly decreasing the subjectivity usually encountered in conventional evaluations. however, its reliance on quantitative records can occasionally oversimplify complex monetary states. Fuzzy logic, on the other hand, lets in for a qualitative interpretation of economic indicators, supplying a greater rounded perspective. with the aid of integrating these two methodologies, our method leverages the entropy weight technique to envision the significance of every economic indicator, even as fuzzy logic gives a cultured assessment of these indicators. Experimental effects confirm the superiority of this hybrid method, showcasing its potential to yield greater accurate and robust evaluations of company monetary fitness as compared to traditional methods. This provides the field of economic evaluation with an advanced but practical analytical tool specifically designed to cope with the complexity of monetary facts and to provide insightful and actionable checks.

International Journal of High Speed Electronics and Systems
Zhangjiakou Academy of Agricultural Sciences (CN)
Openalex Percentile: Top 97%
Evaluation and Optimization Models
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