[HTML][HTML] Some remarks on the two-level DEA model
The two-level DEA model was introduced to increase the discriminational power of Data
Envelopment Analysis (DEA) models. This nonlinear model was presented by Meng et
al.(2008)[3], and then converted into a linear model by Kao (2008)[4]. In this paper two
subjects will be discussed: first, we show that the two-level DEA model is a special case of
DEA models where weight restrictions are applied. Then, we express that the nonlinear
model is equivalent to the conventional DEA model.
Envelopment Analysis (DEA) models. This nonlinear model was presented by Meng et
al.(2008)[3], and then converted into a linear model by Kao (2008)[4]. In this paper two
subjects will be discussed: first, we show that the two-level DEA model is a special case of
DEA models where weight restrictions are applied. Then, we express that the nonlinear
model is equivalent to the conventional DEA model.
The two-level DEA model was introduced to increase the discriminational power of Data Envelopment Analysis (DEA) models. This nonlinear model was presented by Meng et al. (2008) [3], and then converted into a linear model by Kao (2008) [4]. In this paper two subjects will be discussed: first, we show that the two-level DEA model is a special case of DEA models where weight restrictions are applied. Then, we express that the nonlinear model is equivalent to the conventional DEA model.
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