Suppr超能文献

基于公共卫生背景下的鱼群算法的文化企业发展支持策略研究。

Research on the Development Support Strategy of Cultural Enterprises Based on Fish Swarm Algorithm under the Background of Public Health.

机构信息

Jiangxi University of Technology, Nanchang 330098, China.

SEGi University, Kuala Lumpur 47810, Malaysia.

出版信息

J Environ Public Health. 2022 Jun 27;2022:6470147. doi: 10.1155/2022/6470147. eCollection 2022.

Abstract

Under the background of public health events, the government needs to adopt reasonable support strategies to help cultural enterprises tide over the crisis. However, the original analytic hierarchy process cannot be comprehensive and accurate analysis, resulting in that the government support strategy cannot play a role. Fish swarm algorithm is a comprehensive intelligent algorithm, which can comprehensively analyze the factors affecting the formulation of supporting strategies for cultural enterprises, and has the advantages of simple operation and strong analysis ability. Under this background, this paper puts forward a fish swarm model; this method is a comprehensive intelligent analysis method, which can help the government find the best support strategy from the perspectives of politics, economy, and society. In order to verify the effectiveness of the fish school model, this paper uses MATLAB software for verification; the results show that, in the support strategy classification, selection accuracy, and selection time, fish school model is superior to the analytic hierarchy process. Therefore, the fish swarm model can help the government to better choose supporting policies and help cultural enterprises tide over the crisis and improve the accuracy of formulating supporting strategies for cultural enterprises.

摘要

在公共卫生事件背景下,政府需要采取合理的扶持策略帮助文化企业渡过危机。然而,原有的层次分析法无法做到全面准确地分析,导致政府的扶持策略无法发挥作用。鱼群算法是一种全面的智能算法,能够全面分析影响文化企业扶持策略制定的因素,具有操作简单、分析能力强的优点。在此背景下,本文提出了一种鱼群模型;该方法是一种全面的智能分析方法,可以帮助政府从政治、经济和社会等角度找到最佳的扶持策略。为了验证鱼群模型的有效性,本文使用 MATLAB 软件进行验证;结果表明,在支持策略分类、选择准确率和选择时间方面,鱼群模型优于层次分析法。因此,鱼群模型可以帮助政府更好地选择扶持政策,帮助文化企业渡过危机,提高制定文化企业扶持策略的准确性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f042/9252644/a480d2326222/JEPH2022-6470147.001.jpg

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