National Sports Strength Assessment and Olympic Medal Prediction Based on the ALTEA Composite Model

Accurate Olympic medal predictions are critical for governments as globalization-driven sports internationalization boosts national strategies via public influence. The ALTEA composite model addresses this need through a four-dimensional framework. It applies ARIMA to historical medal data, quantifi...

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Veröffentlicht in:2025 IEEE 3rd International Conference on Image Processing and Computer Applications (ICIPCA) S. 1852 - 1859
Hauptverfasser: Liu, Jiaye, Liu, Jingcong, Xiao, Kaixin
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 28.06.2025
Schlagworte:
Accuracy
ALTEA composite model
Analytical models
Computational modeling
Context modeling
Entropy
entropy and AHP
Forecasting
Logistic regression
medal predictions
Predictive models
Sports
Strategic planning
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Zusammenfassung:Accurate Olympic medal predictions are critical for governments as globalization-driven sports internationalization boosts national strategies via public influence. The ALTEA composite model addresses this need through a four-dimensional framework. It applies ARIMA to historical medal data, quantifies host advantages via logistic regression, weights indicators using entropy and AHP, and employs Topsis model to evaluate countries' overall strength and predict the 2028 Olympic medal table. This highly applicable, comprehensive, and accurate model is crucial for sports development and national image-building.
DOI:10.1109/ICIPCA65645.2025.11138706