使用CCR模型测量DEA的规模收益
Measurement of returns to scale in DEA using the CCR model
摘要：
在数据包络分析（DEA）文献中，非有效决策单元（DMU）的规模收益（RTS）是在其有效边界上的投影点确定的。然而，在多个投影点的情况下，这种评估过程是不精确的，并可能导致错误的推断，决策单元的RTS可能性。为了避免这一点，目前的通信首先定义的RTS的一个低效的DMU在其投影点，位于相对内部的最小面。基于此定义，提出了一种算法，通过扩展的最新开发的方法测量RTS通过CCR模型。我们提出的算法的主要优点在于它的计算效率。
英文摘要：
In data envelopment analysis (DEA) literature, the returns to scale (RTS) of an inefficient decision making unit (DMU) is determined at its projected point on the efficient frontier. Under the occurrences of multiple projection points, however, this evaluation procedure is not precise and may lead to erroneous inferences as to the RTS possibilities of DMUs. To circumvent this, the current communication first defines the RTS of an inefficient DMU at its projected point that lies in the relative interior of the minimum face. Based on this definition, it proposes an algorithm by extending the latest developed method of measuring RTS via the CCR model. The main advantage of our proposed algorithm lies in its computational efficiency.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
