Research on the competitiveness of China’s leisure sports industry based on statistical method

Issue title: Special Section: Applications of intelligent & fuzzy theory in engineering technologies and applied science

Guest editors: Stanley Lima and Álvaro Rocha

Article type: Research Article

Authors: Zheng, Yong^{; *}

Affiliations: School of Physical Education Institute, China West Normal University, China

Correspondence: [*] Corresponding author. Yong Zheng, School of Physical Education Institute, China West Normal University, 637009, China. E-mail: zhengyong7867@163.com.

Abstract: Leisure sport is a rising industry in recent decades. Its development speed is far more than that of other industries. Despite the rapid development of sports industry, the number of leisure sports enterprises in China is still scarce. Therefore, this paper put forward the research on the competitiveness of leisure sports, combined the data of leisure sports industry with computer technology, and solved the problem of lagging development of sports in China through statistical operation. In order to optimize the model, we added the association rule algorithm to further improve the accuracy of data, so as to further expand the leisure sports market. Through a comprehensive test of the function of the algorithm, the results show that the system is feasible in the use of the system.

Keywords: Statistics, leisure sports, association rules algorithm

DOI: 10.3233/JIFS-169639

Journal: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 2855-2860, 2018