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首页> 外文期刊>Far east journal of mathematical sciences >FUZZY ANALYTICAL METHOD (FAM) FOR PHYSICAL FITNESS ASSESSMENT
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FUZZY ANALYTICAL METHOD (FAM) FOR PHYSICAL FITNESS ASSESSMENT

机译：模糊分析方法（FAM）进行身体健身评估

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The physical fitness assessment consists of several components that must be tested. Summarizing an overview of the physical fitness tests that affect health care is very important for determining an individual's physical fitness level. This paper proposes a new method based on fuzzy analysis techniques for calculating an overview of the physical fitness tests. The trapezoidal fuzzy number is used to explain the membership value of the standard score in each evaluation grade, using the trapezoidal fuzzy grading set format. The fuzzy grade matrix is then integrated with the weight of the standard score as the average standard score, which is then used to conclude an overview physical fitness grade as outlined by standardized criteria. This method will be referred to as Fuzzy Physical Fitness Analytical Method (FPAM). The numerical example is used to illustrate the application of this method. It shows that the FPAM is able to accurately determine overall physical fitness and is more consistent with the test results than the traditional method. It is a new option to summarize the overall physical fitness for all standardized fitness assessment test systems.
机译：身体适应性评估包括必须测试的几个组件。总结影响医疗保健的身体健身测试的概述对于确定个人的身体健康水平非常重要。本文提出了一种基于模糊分析技术来计算身体健身测试概述的新方法。梯形模糊数用于使用梯形模糊分级集格式来解释每个评估级中标准分数的成员资格。然后将模糊级矩阵与标准分数的重量集成为平均标准分数，然后用标准标准概述的概述身体健身等级得出结论。该方法将称为模糊身体适应性分析方法（FPAM）。数值示例用于说明此方法的应用。它表明FPAM能够准确地确定整体身体健康，并且与测试结果相比，与传统方法更一致。这是总结所有标准化健身评估测试系统的整体身体健康的新选择。

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