摘要
数据包络分析是面向多输入多输出决策单元的有效性评估方法。在介绍数据包络分析的基本思想和模型基础之上,总结了近年来国内外的研究热点,包括两阶段DEA、效率排序DEA、随机DEA和相关扩展问题,旨在围绕以上研究热点,对DEA近年来的理论研究及其扩展模型进行梳理和分类。最后对数据包络分析进一步研究提出展望。
Data envelopment analysis is a method for evaluating the effectiveness of multi-input and multi-output decision making units.On the basis of introducing the basic idea and model of data envelopment analysis,this paper summarizes the research hotspots at home and abroad in recent years,including two-stage DEA,efficiency ranking DEA,stochastic DEA and related expansion issues.Based on the above hotspots,the theoretical research and extended model of data envelopment analysis are sorted and classified.Finally,the prospect of data envelopment analysis is put forward.
作者
张宏军
徐有为
程恺
张睿
尹成祥
ZHANG Hongjun;XU Youwei;CHENG Kai;ZHANG Rui;YIN Chengxiang(Institute of Command and Information System,Army Engineering University of PLA,Nanjing 210000,China)
出处
《计算机工程与应用》
CSCD
北大核心
2018年第10期219-228,共10页
Computer Engineering and Applications
基金
江苏省自然科学基金(No.BK20150720)
关键词
数据包络分析
决策单元
相对有效性
data envelopment analysis
decision making unit
relative efficiency
