Investigation of enterprise economic management model based on fuzzy logic algorithm

Area of Science:

• Business Administration
• Management Science
• Economic Evaluation

Background:

• Modern business models require new management concepts beyond traditional functions.
• Effective corporate economic evaluation is crucial for improving corporate governance.
• Fuzzy logic algorithms offer transparency and effective handling of fuzzy data in management.

Purpose of the Study:

• To introduce an enterprise economic management model and its performance evaluation methods.
• To apply fuzzy logic algorithms for quantitative analysis of enterprise economic management.
• To establish indicators and a performance evaluation model for enterprise economic management.

Main Methods:

• Review of enterprise economic management models, characteristics, and shortcomings.
• Introduction of performance evaluation methods: objective clarity, means optimization, and feedback.
• Application of fuzzy logic algorithms to evaluate economic management performance.

Main Results:

• Fuzzy logic algorithm successfully evaluated economic management in four enterprises.
• Enterprise A demonstrated the highest economic management ability with a score above 0.9.
• Quantitative analysis revealed specific advantages and disadvantages of the management models.

Conclusions:

• Fuzzy logic application enhances enterprise economic management and corporate governance.
• The developed model enables data-driven improvements for increased economic management ability.
• Transparent, quantitative evaluation facilitates better understanding and strategic decision-making.