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Vol. 2 (2024)
Vol. 1 (2023)
Journal Article An open access journal
Open Access Journal Article

Analysis of Tennis Competition Based on PCA Algorithm and Entropy Weight Method

by Heyuan Zhang 1 ,  Yida Ding 1  and  Mengyuan An 1,*
1
Shijiazhuang Railway University, School of Civil Engineering, Shijiazhuang City, Hebei Province, 050043
*
Author to whom correspondence should be addressed.
SIA  1(1):8; https://doi.org/x
Received: 7 March 2024 / Accepted: 21 March 2024 / Published Online: 9 April 2024
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Abstract

With the development of the economy, people's living standards continue to improve, and they have a certain amount of time to improve themselves and cultivate their interests and hobbies. Tennis is a sport and people's attention to it is constantly increasing. In this study, we analyzed tennis match data to answer various questions related to tennis. Firstly, in response to the first question, we constructed a model to capture the game process and evaluate the performance of players. By preprocessing and analyzing the data, including eliminating outliers, filling in missing values, and standardizing the data, we obtained prepared analytical data. Subsequently, using principal component analysis, three representative principal components were identified. In addition, by using the entropy weight method, we calculated the weights, enabling us to derive a momentum formula for visualizing the temporal changes during the competition process. Secondly, regarding the second question, we explored whether there is a correlation between the game results and momentum. By using the momentum model we established, we used Pearson correlation analysis to calculate the correlation coefficient, thereby determining the relationship between momentum and game results.

Keywords: PCA algorithm; entropy weight method; a tennis tournament;
Copyright: © 2024 by Zhang, Ding and An. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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ACS Style
Zhang, H.; Ding, Y.; An, M. Analysis of Tennis Competition Based on PCA Algorithm and Entropy Weight Method. Scientific Innovation in Asia, 2023, 1, 8. https://doi.org/x
AMA Style
Zhang H, Ding Y, An M. Analysis of Tennis Competition Based on PCA Algorithm and Entropy Weight Method. Scientific Innovation in Asia; 2023, 1(1):8. https://doi.org/x
Chicago/Turabian Style
Zhang, Heyuan; Ding, Yida; An, Mengyuan 2023. "Analysis of Tennis Competition Based on PCA Algorithm and Entropy Weight Method" Scientific Innovation in Asia 1, no.1:8. https://doi.org/x

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