动态综合评价中的无量纲化方法  

Study on Dimensionless Methods in Dynamic Comprehensive Evaluation

作　　者：易平涛[1] 张丹宁[2] 郭亚军[1] 高立群[3] 

机构地区：[1]东北大学工商管理学院,辽宁沈阳110004 [2]辽宁大学工商管理学院,辽宁沈阳110036 [3]东北大学信息科学与工程学院,辽宁沈阳110004

出　　处：《东北大学学报（自然科学版）》2009年第6期889-892,共4页Journal of Northeastern University(Natural Science)

基　　金：国家自然科学基金资助项目(70801013);中国博士后科学基金资助项目(20080441094);辽宁省博士启动基金资助项目(20081020)

摘　　要：指出现有动态综合评价方法中采用静态无量纲化方法在处理时序数据时会消除数据中隐含增量信息的问题,针对该问题,提出了3种基本的改进方法,分别是标准序列法、全序列法及增量权法,并用一个算例对不同改进方法的特点进行了分析.结果显示,若对横向信息或纵向信息无特殊的主观偏爱,全序列法是一种简便直观且易于理解的改进思路,能够很好地拓展至各种静态无量纲化方法中,并能充分保留方法原有的数值特点,建议优先选用.另外,提出的思路可推广至动态非线性无量纲化问题中.There is a problem that the implicit increment information in data can be eliminated when processing the data of time series in existing dynamic comprehensive evaluation by static dimensionless methods. To solve the problem, three improved methods are suggested, i.e. the standard-series, whole-series and increment-weight methods, with a numerical example given to analyze their characteristics. The results showed that if there is no special subjective preference between transverse and lengthways information, the whole-series method is an explicit and easy one available to extend well to various static dimensionless methods and keep on the data characteristics of original method fully. It is therefore recommended to adopt the whole-series method prior to others. Moreover, the thoughts as above could be applied to dynamic non-linear dimensionless problems.

关 键 词：综合评价 动态综合评价 无量纲化方法 指标信息 

分 类 号：C931[经济管理—管理学]