基于数据三分法的DEA模型
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引用本文:马赞甫,刘姸珺.基于数据三分法的DEA模型[J].经济数学,2011,(2):11-15
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作者单位
马赞甫,刘姸珺 (贵州财经学院 经济研究所贵阳 贵州550004) 
中文摘要:传统DEA模型在数据两分(偏好与规避)的基础上考察决策单元的有效性,在某些场合不再适用.文章根据决策者的偏好将数据分为三类:规避、偏好、中性类,在此基础上构造评价相对有效性的DEA模型.相较而言,基于数据三分法的DEA模型更具一般性.利用该模型,文章考察了中国近年投入产出绩效问题.
中文关键词:效率  数据包络分析  数据分类  中性数据
 
The Dea Model Based on Data Trichotomy
Abstract:The efficiency of decision making units of the traditional DEA models based on the data dichotomy (good cluster and bad cluster) is no longer suitable for some occasions. According to the decision makers preferences, this article divided data into three categories: good, bad and neutral cluster. On the basis of the relative effectiveness of structural evaluation of the DEA model, issues like the solution of the model, the nature of solutions were analyzed. In comparison, DEA model based data trichotomy is more inclusive. The issue of China’s recent years input output performance was also discussed by use of this model.
keywords:efficiency  DEA  data classification  neutral cluster
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