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September 10, 2025Advances in Engineering Technology Research

An Innovative mode: An Integrated CRITIC-Multivariate Linear Regression Framework with TOPSIS Multi-Criteria Evaluation

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Authors

JZJiyu Zhou

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Overview

Prediction framework combines linear regression and TOPSIS multi-criteria evaluation, improving medal forecasts.

Key Points

  • The model's prediction ability improved by 13.7% compared to the baseline model, enhancing accuracy for Olympic medal forecasts.
  • A Project Competition Coefficient was introduced to better predict potential medal counts for countries with no prior wins.
  • A National Comprehensive Sports Strength Index was developed using the CRITIC method to weigh factors influencing medal success.
  • Monte Carlo simulation applied random data perturbations, resulting in a 95% confidence interval with a 91.2% coverage rate, reducing prediction uncertainty.

Cite This Study

Jiyu Zhou (2025) studied this question.

synapsesocial.com/papers/68c1a76954b1d3bfb60e03d6https://doi.org/10.56028/aetr.14.1.837.2025
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Also Consider

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  1. 1Olympic Potential Mining: Ensemble Learning & Multi-Criteria Decision-Making2025
  2. 2Uncovering the Secret of Olympics Medals2025 · 1 citations
  3. 3Stacking integration algorithm Based on Regression models and Informer for Olympic Medal Standings Forecasting2025
  4. 4Olympic medal prediction combining deterministic and stochastic factors2025
  5. 5Selection of Olympic Events - A Quantitative Evaluation Based on the TOPSIS Model2025