综合评价中数据变换方法的选择  

About the choice of target non-dimensional method in multi target synthetic evaluations

作　　者：郑宏宇[1] 邓银燕[1] 贺瑞缠[1] 

机构地区：[1]西北大学数学系,陕西西安710069

出　　处：《纯粹数学与应用数学》2010年第2期319-324,共6页Pure and Applied Mathematics

摘　　要：为了消除不同评价指标中不同的量纲和量纲单位带来的不可公度性,本文讨论了综合评价中数据变换方法的选择问题.根据序号总和理论,本文将各评价指标作无量纲化处理,根据各无量纲化方法所做的等级排序与合理等级排序的"距离"进行无量纲化方法的优选,并通过实例分析得出了相应的结论.均值化方法保留了各指标变异程度的信息,是一种较好的数据处理方法.The different evaluating indicator often has the different dimension and the Dimensional unit,to eliminate the commensurability coming from this,we should also do zero dimension processing to each evaluating indicator.The rationality of an undimensionalized method depends on the rationality of the rank it assigns to objects.Under the premise of establishing gist of rational rank,we can choose the best one from non-dimensionalized methods according to the distance between the ranks assigned by them and the rational rank collocation,and draw relavent conclusions through practical analysis.

关 键 词：无量纲化 距离 等级排序 实证分析 

分 类 号：O211.1[理学—概率论与数理统计]