A Methodological Research on Evaluating Competitive Capability and Growth Rate of Basketball Players

Authors

  • Jingyi Zhang
  • Sirui Wu
  • Mingxian Zhou
  • Xinghao Liang
  • Keqi Wang
  • Qiulin Wu
  • Chenhan He

DOI:

https://doi.org/10.54097/j8f5e3os

Keywords:

Basketball Players, Ideal Solution Approximation Method, Entropy Weight Method, Backpropagation Neural Network

Abstract

This paper aims to conduct a quantitative analysis of the factors influencing the growth rate of basketball players. To achieve this goal, the paper adopts a method of entropy weight combined with ideal solution approximation comprehensive evaluation method, to analyze the growth rate of the athletes. Furthermore, to explore the relationship between various factors and the players’ growth rate, a backpropagation (BP) neural network is utilized to fit the impact level of each independent variable and the dependent variable. Therefore, the method proposed in this paper can provide a more accurate, practical, and flexible evaluation method for ranking basketball players, thus supporting training, and offering reference for other similar sports competitions.

References

Fang XuXin, Zhuge Bin. Comprehensive ability analysis of badminton players based on entropy method[J]. Excellent Papers Online of Chinese Science and Technology, 2023, 16(02): 233-240.

Trninić S, Dizdar D. System of the performance evaluation criteria weighted per positions in the basketball game[J]. Collegium antropologicum, 2000, 24(1): 217-234.

Jin YingYan, Jia JunCheng, Hong MinJie, et al. Data analysis and visualization for NBA players[J]. Computer Applications and Software, 2021, 38(08): 84-91+174.

Sarlis V, Tjortjis C. Sports analytics—Evaluation of basketball players and team performance[J]. Information Systems, 2020, 93: 101562.

Fu JiaWei. A comparative study of the offensive and defensive abilities of excellent international players and American players in the 2018-2019 NBA season[D]. Sichuan Normal University, 2020.

Terner Z, Franks A. Modeling player and team performance in basketball[J]. Annual Review of Statistics and Its Application, 2021, 8: 1-23.

Trninić S, Dizdar D, Dežman B. Empirical verification of the weighted system of criteria for the elite basketball players quality evaluation[J]. Collegium Antropologicum, 2000, 24(2): 443-465.

Downloads

Published

03-01-2024

Issue

Section

Articles

How to Cite

Zhang, J., Wu, S., Zhou, M., Liang, X., Wang, K., Wu, Q., & He, C. (2024). A Methodological Research on Evaluating Competitive Capability and Growth Rate of Basketball Players. Mathematical Modeling and Algorithm Application, 1(1), 20-25. https://doi.org/10.54097/j8f5e3os