运筹与管理2018，Vol.27Issue(4)：173-178,6.DOI:10.12005/orms.2018.0099
综合评价中异常值的识别及无量纲化处理方法
Outliers Recognition and the Dimensionless Method in Comprehensive Evaluation
摘要
Abstract
In face of the outliers in comprehensive evaluation,this paper analyses three questions:are there outli-ers in original data if there are outliers,how to recognize them And how to design dimensionless method for all data included in outliers For the judgment and recognition of outliers,we tahe"median"as a reference.Based on this,the outliers can be identified by comparing the distance of the former endpoint to the median and that of the later endpoint to the median.To the dimensionless question,based on the frequently-used linear scale trans-formation(max-min)method, we provide a piecewise dimensionless method by allocating dimensionless value interval to outliers and non-outliers respectively.At last,the validity of this research is illustrated by the compar-ison with the results of available literature.And it is found the methods in this paper can not only recognize outliers moderately,but also promote the proportionality of dimensionless results.关键词
综合评价/无量纲化处理/异常值/极值处理法/分段无量纲化方法Key words
comprehensive evaluation/dimensionless process/outlier/linear scale transformation(max-min) method/piecewise dimensionless method分类
管理科学引用本文复制引用
李伟伟,易平涛,李玲玉..综合评价中异常值的识别及无量纲化处理方法[J].运筹与管理,2018,27(4):173-178,6.基金项目
国家自然科学基金资助项目(71701040,7176031) （71701040,7176031）
教育部人文社会科学研究青年基金项目(17YJC630067) （17YJC630067）
中央高校基本科研业务费资助项目(N170604004) （N170604004）
