Research on Evaluation Model of Football Frontal Line Player Competitive Ability Based on Fuzzy Clustering

Main Article Content

SUN Xiaodong, GAO Lin

Abstract

Sports represented by football are playing a more and more important role in residents' lives. In recent
years, the broadcasting of high-level football leagues has also enabled audiences all over the world to enjoy the
charm of football at home. On the basis of introducing concepts such as fuzzy clustering, the systematic clustering
method, k- means algorithm and FCM algorithm are emphatically analyzed. On this basis, the existing evaluation
model of football frontal line player's competitive ability was improved, and a new evaluation model was
established. Twenty-seven main indexes affecting the competitive ability of football frontal line player were
obtained, and fuzzy mathematical modeling was carried out on this basis. And select a frontal line player as a case,
according to the evaluation system, make an objective evaluation of its ability, type and suitability for studying
abroad.

Article Details

How to Cite
SUN Xiaodong, GAO Lin. (2021). Research on Evaluation Model of Football Frontal Line Player Competitive Ability Based on Fuzzy Clustering. CONVERTER, 2021(7), 873-882. Retrieved from https://converter-magazine.info/index.php/converter/article/view/566
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