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Research of the college coaches evaluation index system based on the fuzzy comprehensive evaluation model

机译：基于模糊综合评价模型的高校教练员评价指标体系研究

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In order to know how to choose the best college coach or coaches, a mathematic model will be built in this paper. Firstly, according to Delphi method and CES scale, the indicator system of coaches??? competence is given and improved. Thus nine indicators for evaluation of best coaches are determined. We know the most influenced factors are won pct,years,popularity through weighted analysis. By applyingMatlab, gain the weight vector ???¨0.5464,0.1804,0.2732????T A ???? . At the same time, the fuzzy comprehensive evaluation of both male and female college coaches in basketball, ice hockey and soccer are gained as follows respectively: 146.576, 152.6493, 127.0001, 147.8392.An outstanding test is conducted on comprehensive evaluation, and there is no big difference in each evaluation indicator. The evaluation model of best college coaches can be applied to all projects and genders based on fuzzy mathematics. Secondly, after the study of teachingmethods of PE coaches, the indicators of best representative coaches are chosen across the wholeAmerica. Data are integrated, and then a line chart is drawn, in which each indicator changes with time. Pct changes obviously in this chart and the other three indicators change within a certain range. All this shows that teaching methods of college coaches change evidently. Finally, choose data of top 50 college coaches in baseball,football and softball inAmerica. Based on Principal factor weight vector in this model, ???¨0.5464,0.1804,0.2732????T A ???? , fuzzy comprehensive evaluation is gained. Calculate the top 5 best college coaches in sportsmentioned above across America with the help of matlab. To ensure the rationality of the model, BP nerve net will be used to test it. According to ???¨ 1???? ???¨ ???? ???¨ ???? [ ???¨ ???? ???¨ 1????] j j p pj j w t ???? ???? w t ???????¨ t ???3 o ???????? w t ???- j t ???- , the data of top 4 in softballwill be input, we know t ???? 4.9276, which is similar to the output of 5th one.
机译：为了知道如何选择最好的大学教练，本文将建立一个数学模型。首先，根据Delphi方法和CES规模，制定教练员指标体系。能力得到了提高。因此，确定了评估最佳教练的九个指标。通过加权分析，我们知道影响最大的因素是pct，年数，受欢迎程度。通过应用Matlab，获得权重向量0.50.5464,0.1804,0.2732 。同时，分别获得了篮球，冰球和足球运动中男女大学生教练的模糊综合评价：146.576、152.6493、127.0001、147.8392。每个评估指标差异很大。最佳大学教练的评估模型可以基于模糊数学应用于所有项目和性别。其次，在研究了体育教练的教学方法之后，在全美范围内选择了最佳代表教练的指标。集成数据，然后绘制折线图，​​其中每个指标随时间变化。在此图表中，百分比变化明显，而其他三个指标在一定范围内变化。所有这些表明，大学教练的教学方式发生了明显变化。最后，选择美国棒球，足球和垒球前50名大学教练的数据。在该模型中，基于主因子权重向量，为<0.5464,0.1804,0.2732 ，获得了模糊综合评价。在Matlab的帮助下，计算出上述全美运动中排名前5位的最佳大学教练。为了确保模型的合理性，将使用BP神经网络对其进行测试。根据???¨1 ???? ???¨???? ???¨???? [???¨???? ???¨1 ????] j j p pj j w t ???? ???? w t ???????¨t？3 o ????????? w t ???-j t ???-，垒球的前4位数据将被输入，我们知道t ???? 4.9276，类似于第五个输出。

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