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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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
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ISSN0893-9659
1873-5452
DOI10.1016/j.aml.2011.01.007

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Abstract 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.
AbstractList 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.
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.
Author Davoodi, A.
Zhiani Rezai, H.
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Cites_doi 10.1016/0377-2217(78)90138-8
10.1016/j.omega.2007.12.005
10.1287/mnsc.30.9.1078
10.1016/j.omega.2008.01.002
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Keywords Two-level DEA model
Weight restrictions
Data Envelopment Analysis
Data analysis
Applied mathematics
Non linear model
Linear model
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Meng, Zhang, Qi, Liu (br000015) 2008; 36
Kao (br000020) 2008; 36
Charnes, Cooper, Rhodes (br000005) 1978; 2
Cooper, Seiford, Tone (br000025) 1999
Cooper (10.1016/j.aml.2011.01.007_br000025) 1999
Banker (10.1016/j.aml.2011.01.007_br000010) 1984; 30
Meng (10.1016/j.aml.2011.01.007_br000015) 2008; 36
Charnes (10.1016/j.aml.2011.01.007_br000005) 1978; 2
Kao (10.1016/j.aml.2011.01.007_br000020) 2008; 36
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Snippet The two-level DEA model was introduced to increase the discriminational power of Data Envelopment Analysis (DEA) models. This nonlinear model was presented by...
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SubjectTerms 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
Title Some remarks on the two-level DEA model
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