Data Envelopment Analysis(DEA) using Length Rate-based Efficiency Measurement

Sang-Un Lee
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Abstract

This paper proposes length rate measurement for relative efficiency that is a core of data envelopment analysis(DEA). It has been said that the linear programming(LP) is a unique method to get the relative efficiency. This method has drawback that applies fractional LP focusing on each DMU in turn. This paper draws bi-dimensional input-output relational graph and distinguishes between efficient and inefficient DMU. The relative efficiency of inefficient DUM is solve using length rate measurement. As a result of various experimental data, the LP shows mistake of application, but this method gets the correct relative efficiency at all times. Also, this method only gets the relative efficiency for only inefficient DMUs without efficient DUMs that already achieved 100% efficiency. This method solves the relative efficiency of inefficient DUM draws the line to efficient frontier and decides the reference set easily.
基于长度率效率测量的数据包络分析(DEA)
本文提出了相对效率的长度率度量方法,这是数据包络分析(DEA)的核心。已经说过线性规划(LP)是一种获得相对效率的独特方法。这种方法的缺点是依次对每个DMU应用分数LP。本文绘制了二维投入产出关系图,并对高效和低效的决策单元进行了区分。采用长度率测量法求解了非效率DUM的相对效率。各种实验数据表明,LP的应用存在错误,但该方法在任何时候都能得到正确的相对效率。此外,该方法仅对低效的dmu获得相对效率,而对已经达到100%效率的高效dmu则没有。该方法解决了无效率DUM的相对效率问题,可方便地向有效边界划线并确定参考集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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