基于大数据的运动损伤程度评估模型Sports injury degree evaluation model based on big data
李少聪,马德,李少琼
摘要(Abstract):
对运动损伤程度进行评估,在提高运动质量方面具有重要意义。运动损伤程度评估过程中,传统方法应用经验损伤测评方法进行评估,由于使用经验数据因此存在评估结果误差大,效率低的问题,提出基于大数据的运动损伤程度评估模型。通过大数据分析对运动损伤程度进行趋势评估,引入模糊集概念考量损伤数据,重新确立模糊关系矩阵指标权重,完成评估模型建立。通过实验表明,采用改进评估模型相比传统评估模型其有效性较高、误差小,具有一定的优势。
关键词(KeyWords): 大数据;运动质量;经验损伤测评;指标权重;评估模型;模糊关系矩阵
基金项目(Foundation): 国家自然科学基金项目(81172774)~~
作者(Author): 李少聪,马德,李少琼
DOI: 10.16652/j.issn.1004-373x.2018.06.045
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