数据包络分析中变量分类研究评述

Reviews of DEA Research Based on the Variable Classification

数据包络分析的研究历史与研究者对于变量特性的认知历史是紧密联系在一起的。在数据包络分析的早期研究中,所有的投入或者产出变量都被视为可数量化、可自由处置、单角色的等。研究者逐渐认识到有些变量是不可数量化的、非自由处置的、双角色的,因此,不同目的的DEA模型被提出并加以研究。本文对数据包络分析中有关变量分类的研究进行系统性评述。

The researches on Data Envelopment Analysis are usually stepping up to follow the cognition level to variable characters. In the early research on DEA, all input and output variables are regarded as quantitative, discretionary and single-role. Now researches have recognized that some variables are nonquantitative, non-discretionary or dual-role. Then different DEA models are advanced to deal with these special variables. This paper reviews the research on the variable classification in DEA contexts.