评估基于模糊逻辑的模型对预测体育赛事结果的有效性:A CRITIC-VIKOR方法
1Department of Basic Education, Jiangsu Shipping College, Nantong, China.
PloS one
|December 23, 2024
概括
本研究介绍了一种混合模糊逻辑模型,将CRITIC和VIKOR方法结合起来,以提高体育预测的准确性. 该方法为体育分析和投注提供可靠的决策支持.
科学领域:
- 人工智能的人工智能
- 运动分析 运动分析
- 决策科学 决策科学 决策科学
背景情况:
- 由于许多影响因素,体育预测是复杂的.
- 传统的预测方法与体育数据内在的不确定性作斗争.
- 模糊逻辑模型为处理这种复杂性提供了潜力.
研究的目的:
- 评估基于模糊逻辑的模型,用于体育赛事结果预测.
- 通过混合方法提高预测准确性和可靠性.
- 解决体育数据分析中的复杂性和不确定性.
主要方法:
- 使用混合CRITIC-VIKOR方法与模糊逻辑模型.
- 采用历史团队和球员表现数据的全面数据集.
- CRITIC 方法确定了标准的重要性;VIKOR 方法对预测模型进行了排名.
主要成果:
- 混合CRITIC-VIKOR模糊逻辑方法显著提高了预测精度.
- 与传统的体育预测方法相比,实现了更高的准确性.
- 确定了可靠的决策支持的最佳预测模型.
结论:
- 集成的模糊逻辑模型提供了卓越的体育预测能力.
- 建议在体育分析中采用团队管理和投注.
- 增强教练,分析师和经理的决策能力.
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