一种结合层次分析法的改进型主成分评价法及其应用

An Improved Major Component Assessment and Its Application Incorporating Analytic Hierarchy Process

主成分分析法和层次分析法是计算多目标综合性指标中常用的方法.主成分分析法偏重于对数据所包含信息的处理,而层次分析法更依靠于专家在设定权重过程中的人为经验.通过在主成分分析法中引入层次分析法中的判断矩阵,提出了一种改进型主成分分析法.通过对评选优秀篮球教练员的实证分析,验证了新方法的优越性.

Major component assessment and analytic hierarchy process are commonly used meth-ods in computing multi-purpose comprehensive index. Major component analysis puts emphasis on the processing of information incorporated in data while analytic hierarchy process relies on experts’ experience in setting weight. In this study, an improved major component analysis in-corporating the assessment matrix in analytic hierarchy process is proposed. The superiority of the new method is testified in analyzing the selection of excellent basketball trainers.