Fuzzy comprehensive evaluation of physical education based on high dimensional data mining

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: Wang, Zhihui^{; *}

Affiliations: College of Physical Education, Inner Mongolia University for Nationalities, Tongliao, China

Correspondence: [*] Corresponding author. Zhihui Wang, College of Physical Education, Inner Mongolia University for Nationalities, Tongliao 028043, China. E-mail: [email protected].

Abstract: The spectrum cluster algorithm is opposite in the other cluster algorithm has the obvious superiority that can distinguish the non-raised distribution the cluster, suits extremely in many actual problems. With this prior model this paper combines the fuzzy set system to propose the new data mining algorithm. At the same time, we build a fuzzy comprehensive evaluation model and analyze the evaluation system of physical education. The result shows that the fuzzy comprehensive evaluation method is improved by using the grey relational grade, which avoids the disadvantages of adopting the principle of maximum membership degree. Therefore, this evaluation method can be used in the evaluation of public sports teaching in colleges and universities.

Keywords: Mining algorithm, grey system, public physical education, high dimensional data, fuzzy comprehensive evaluation

DOI: 10.3233/JIFS-169661

Journal: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3065-3076, 2018