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 sho...

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Bibliographic Details
Published inApplied mathematics letters Vol. 24; no. 6; pp. 969 - 974
Main Authors Zhiani Rezai, H., Davoodi, A.
Format Journal Article
LanguageEnglish
Published Kidlington Elsevier Ltd 01.06.2011
Elsevier
Subjects
Constrictions
Data Envelopment Analysis
Equivalence
Exact sciences and technology
Mathematical analysis
Mathematical models
Mathematics
Nonlinearity
Numerical analysis
Numerical analysis. Scientific computation
Operations research
Sciences and techniques of general use
Two-level DEA model
Weight restrictions
Two-level DEA model
Weight restrictions
Data Envelopment Analysis
Data analysis
Applied mathematics
Non linear model
Linear model
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ISSN0893-9659
1873-5452
DOI10.1016/j.aml.2011.01.007

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Summary: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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ISSN:0893-9659
1873-5452
DOI:10.1016/j.aml.2011.01.007