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An application of multiple criteria analysis to assess optimal factor combination in one experiment

机译:多种标准分析在一个实验中评估最佳因子组合的标准分析

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Experiments in many disciplines also and in biology are used by scientists to affirm their hypothesis, these experiments are called tests in research, or to choose the best from available possibilities, these experiments are called valuations in research in which group belongs also optimal factor combination choice in one multifactor and often multivariate experiments. Statistic analysis for any experiment plan is very complex using standard statistic methods especially in the case of the optimal factor combination choice. From other side multiple criteria analysis, like modern science discipline, enables an easier way to make analysis of results of one experiment just in the case of optimal factor combination choice of multifactor and multivariate experiment. Therefore authors propose multiple criteria analysis application in analysis of experiment results and in this paper authors consider application of one subgroup of these methods, multi attribute decision methods. One example of multiple attribute analysis and that ELECTRA method application in analysis of results of agricultural experiment is given in the end of this paper.
机译:在许多学科也和生物学实验被科学家肯定他们的假设,这些实验被称为研究测试,或者选择从可用的可能性是最好的,这些实验被称为研究估值在哪个组也属于优化要素组合的选择在一个多因素,往往多元实验。对于任何实验计划的统计分析使用特别是在最佳因子组合的选择的情况下的标准统计方法是非常复杂的。来自对岸多个条件进行分析,如现代的科学学科,使一个简单的方法,使一个实验结果的分析,只是在优化要素组合的选择多因素和多因素实验的情况。因此作者提出多个条件分析应用在实验结果的分析,本文作者认为这些方法中的一个亚群,多属性决策方法的应用。多属性分析和农业实验的结果的分析,认为ELECTRA方法应用的一个实例在本文的末尾给出。

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