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基于粗糙集对个案男子1万m跑成绩的分析与预测

Case Analysis and Prediction on Man's 10000 m Performance Based on Rough Set Theory
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摘要 运用文献资料、专家访谈和粗糙集权重确定等方法,对1999—2005年甘肃省体工队中长跑队员训练和比赛中的最好成绩进行粗糙集权重分析,结果表明:影响10 000 m成绩的关键指标是公路10 km和周弓箭步总量;并且从属性决策中得出了5条确定性预测规则。目的在于教练员依据运动员的成绩发展水平提供一个科学训练的方法和手段,为教练员最优控制训练过程提供有效参考。 Through using the method of literature review, expert interviews and rough and weight determined methods, this paper made rough weight re-analysis on long and middle distance runner's best performanee in training and competition in sports team in Gansu province from 1999 to 2005. The result showed that the critical indicators influencing 10 000 m performance were road 10 km and total week lunge. The decision-making derived from the property five deterministic prediction rules. The main purpose was to make the scientific training plan based on performance developing level of athletes and provide effective reference for coach's optimal control for training process.
出处 《首都体育学院学报》 北大核心 2010年第4期76-79,共4页 Journal of Capital University of Physical Education and Sports
关键词 粗糙集 1万m跑 成绩 预测 rough set theory 10 000 m performance forecasting
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