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一、灰色关联分析理论 从系统离乱的、随机的行为特征量(观测数据)中确定因素(要素)间的关联程度,称为灰色关联分析。它的基本内容,是根据诸因素行为观测序列的几何接近程度,分析和确定它们之间的影响程度或对目标要素的贡献测度。这种分析方法可以有效地克服常用统计分析方法的某些不足,如要求大样本量和样本分布已知,计算工作量大和由于计算误差而可能引起的相关极性颠倒等。灰色关联分析的主要理论工具是关联度,关联序和关联矩阵。所谓关联度,就是因素之
First, the gray relational analysis theory to determine the factors (elements) from the system of random, random behavioral characteristics (observation data) the degree of correlation, known as gray relational analysis. Its basic content is to analyze and determine the degree of influence among them or the contribution to the target factors according to the geometric proximity of the observed sequences of behavior factors. This kind of analysis method can effectively overcome some shortcomings of commonly used statistical analysis methods, such as requiring large sample size and sample distribution, calculating the workload and the related polarity reversal which may be caused by calculation error. The main theoretical tools of gray relational analysis are degree of relevance, relational order and correlation matrix. The so-called relevance, is the factor