Innovative Evaluation Method of Government Physical Education Training Quality Based on Fuzzy Mathematics

• Published in: Digital government (New York, N.Y. Online) N.Y. Online), 2022-12, Vol.3 (4), p.1-13, Article 28
• Main Authors: Peng, Jiangui, Xu, Jianzheng, Wang, Yeni
• Format: Article
• Language: English
• Subjects: Professional topics; Social and professional topics
• ISSN: 2691-199X; 2639-0175
• DOI: 10.1145/3568168

Current sports training quality evaluation methods cannot accurately detect the integrity of training data, resulting in low accuracy of training quality evaluation. Considering the function of the government in providing public sports services and the role of the government in coordinating the sports training of all parties, this paper puts forward an innovative evaluation method of government physical education training quality based on fuzzy mathematics. First of all, the real-time data on sports training sensor signal is obtained by using SiCN (Silicon Carbonitride) sensor, and the real-time detection circuit and data amplification module are designed. Based on the core hardware for instant data detection of sports training sensor signal, a fuzzy support vector machine model is established to detect the integrity of government sports innovation training data, reconstruct the track of sports training action, and thus construct an innovative evaluation model of government sports training quality based on heredity and support vector machine. Experimental results show that compared with existing methods, the proposed method has higher accuracy in data integrity detection, better reconstruction effect in sports training action, with evaluation results reaching more than 90 points.