Investigation of enterprise economic management model based on fuzzy logic algorithm

模糊逻辑 计算机科学 数字公司 公司治理 企业软件 企业数据管理 知识管理 管理科学 业务 经济 人工智能 财务
作者
Ziyi Kang,Yongkang Zhao,Dongjoo Kim
出处
期刊:Heliyon [Elsevier BV]
卷期号:9 (8): e19016-e19016 被引量:1
标识
DOI:10.1016/j.heliyon.2023.e19016
摘要

With the development of modern society and economy, modern business models have changed. Enterprise management is no longer the main function, which requires new management concepts to coordinate production and operation and create new management models. Corporate economic management is one of the main tasks of corporate governance. In order to improve corporate governance, the effective corporate economic evaluation model must be established. The advantage of fuzzy logic algorithm is that it can effectively express fuzzy data and is easy to understand, which is more transparent. The application of fuzzy logic algorithm in the research of enterprise economic management can fully reflect the advantages of fuzzy logic algorithm and improve enterprise governance. In this paper, the fuzzy logic algorithm was used to study the economic management model of enterprises. This paper first introduced the enterprise economic management model, including the definition, characteristics and shortcomings of the enterprise economic management model. The performance evaluation methods of enterprise economic management were introduced, including the clarity of performance evaluation objectives, the optimization of performance evaluation means and the feedback of performance evaluation results. Finally, the fuzzy logic algorithm was used to evaluate the performance of enterprise economic management, and the indicators and performance evaluation model of enterprise economic management were established. In the experimental part, the fuzzy logic algorithm was used to evaluate the economic management of four enterprises. The experimental results showed that Enterprise A had the highest ability to evaluate the economic management of enterprises, and the comprehensive evaluation result of economic management was above 0.9, so it had a very high enterprise economic management ability. The application of fuzzy logic to the study of enterprise economic management could directly show the advantages and disadvantages of the enterprise economic management model through quantitative analysis of the enterprise economic management model. This enabled enterprises to understand the current economic management situation and improve it based on the facts, which helped enterprises to increase their economic management ability.

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