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

作　　者：李少聪[1] 马德[1] 李少琼[2] 

机构地区：[1]张家口学院,河北张家口075000 [2]山西医科大学,山西太原030002

出　　处：《现代电子技术》2018年第6期183-186,共4页Modern Electronics Technique

基　　金：国家自然科学基金项目(81172774)~~

摘　　要：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。Sports injury degree evaluation is of great significance to the improvement of sports quality. In allusion to the problem that in the process of sports injury degree evaluation,the empirical injury evaluation method is applied in the traditional evaluation method,in which big error and low efficiency of evaluation results exist due to the use of empirical data,a sports injury degree evaluation model based on big data is proposed. The big data analysis is introduced to evaluate the tendency of sports injury degree. The fuzzy set concept is introduced to consider the damage data so as to establish the index weight of fuzzy relational matrix and complete the establishment of evaluation model. The experimental results show that the improved evaluation model has certain advantages of higher effectiveness and less error in comparison with the traditional evaluation model.

关 键 词：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 

分 类 号：TN273-34[电子电信—物理电子学]