Research on Tennis Players' Momentum Calculation Model Based on Entropy Weight Method
DOI: 10.23977/jeis.2024.090304 | Downloads: 22 | Views: 1041
Author(s)
Yanyan Lv 1, Zirui Yang 1, Tianming Zong 1
Affiliation(s)
1 Reading Academy, Nanjing University of Information Science and Technology, Nanjing, 210044, China
Corresponding Author
Yanyan LvABSTRACT
Tennis, a globally revered sport, leverages the concept of momentum from physics, defined as "the force or strength gained through motion or a series of events." In the context of sports, momentum serves as a metric to delineate the performance trajectory of players over a given time frame, thereby reflecting the competitive edge of the athletes involved. This study presents the formulation of a computational model designed to estimate the momentum of tennis players during matches. The methodology commences with data preprocessing, encompassing the rectification of anomalous data points and the imputation of missing values. Subsequently, the paper elucidates the construction of a momentum estimation model, which encompasses the selection of pertinent indicators and a meticulous weight analysis. The authors have employed the entropy weight method to ascertain the relative importance of each indicator, subsequently devising a formula for momentum calculation grounded in these metrics. The paper culminates with a visual representation of the momentum dynamics, utilizing momentum change graphs and scatter plots to illustrate the fluctuations. The findings of this research offer valuable insights to tennis coaches and players, equipping them with a deeper comprehension of match dynamics and a strategic framework to enhance their competitive performance.
KEYWORDS
Entropy Weight Method, Momentum Calculation, Sports PerformanceCITE THIS PAPER
Yanyan Lv, Zirui Yang, Tianming Zong, Research on Tennis Players' Momentum Calculation Model Based on Entropy Weight Method. Journal of Electronics and Information Science (2024) Vol. 9: 19-26. DOI: http://dx.doi.org/10.23977/10.23977/jeis.2024.090304.
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