高强度运动下运动员风险评估仿真研究

Under High Intensity Exercise Athletes Risk Assessment Simulation Research

研究高强度运动下的运动员风险评估问题,可预防运动员在运动中所遇的风险。在运动过程中由于运动员自身及周围因素,使得运动过程中出现不固定风险。传统的评估方法无法获取高强度运动下的运动风险因素,导致风险评估不准确的问题。提出基于云模型的运动员风险评估方法。将云模型理论引入到高强度运动下的运动员风险评估中,获取描述正常状态的状态云和运动员发生风险概率较大的状态云,结合熵权和三角模糊数的风险评估方法对运动员发生风险因素进行评价,组建运动员发生风险因素的综合模糊评判矩阵。以上述矩阵为核心建立高强度运动下的运动员风险评估模型。仿真结果证明,采用改进的运动员风险评估方法可以为运动员的正常训练和比赛提供有力的参考。

It can prevent athlete risk to study athlete risk assessment in high intensity sport. Uncertain risk arises due to athlete own and external factor during sport. Traditional assessment method can not obtain risk factor during high intensity sport. It leads to poor precision of assessment. In this paper, we proposed an athlete risk assessment method based on cloud model. Firstly, we introduced cloud theory to obtain status cloud in normal state and higher risk probability respectively. Then we evaluated the risk factor using method combined with entropy weight and triangular fuzzy number. An integrated fuzzy evaluation matrix was established. Finally, we built an athlete risk assessment model using matrix mentioned above as core. The simulation results show that the modified method can provide reference for training and match of athlete.