Cheng, Gang and Qian, Zhenhua (2011): DEA数据标准化方法及其在方向距离函数模型中的应用.
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Directional distance function is the generalization of radial model in data envelopment analysis. It has the capacity of dealing with undesirable outputs, but the problem is that it has no unit-invariant measurement of efficiency, which hampers its application to empirical studies. Data normalization for data envelopment analysis is a universal solution for the problem of unit-invariance, and the efficiency keeps unchanged in radial and non-radial models after data normalization. A unit-invariant efficiency measure for directional distance function is developed based on DEA data normalization.
|Item Type:||MPRA Paper|
|English Title:||Data normalization for data envelopment analysis and its application to directional distance function|
|Keywords:||Data Envelopment Analysis; Data Normalization; Units Invariance; Directional Distance Function|
|Subjects:||C - Mathematical and Quantitative Methods > C6 - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling|
|Depositing User:||Gang Cheng|
|Date Deposited:||26. Oct 2012 05:59|
|Last Modified:||20. Feb 2013 09:10|
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DEA数据标准化方法及其在方向距离函数模型中的应用. (deposited 06. Jul 2011 17:04)
- DEA数据标准化方法及其在方向距离函数模型中的应用. (deposited 26. Oct 2012 05:59) [Currently Displayed]