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Theory of Approximation and Applications
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Issue Issue 2
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Jahanshahloo, A. (2010). Hybrid model in network DEA. Theory of Approximation and Applications, 6(2), 39-44.
A. Jahanshahloo. "Hybrid model in network DEA". Theory of Approximation and Applications, 6, 2, 2010, 39-44.
Jahanshahloo, A. (2010). 'Hybrid model in network DEA', Theory of Approximation and Applications, 6(2), pp. 39-44.
Jahanshahloo, A. Hybrid model in network DEA. Theory of Approximation and Applications, 2010; 6(2): 39-44.

Hybrid model in network DEA

Article 5, Volume 6, Issue 2, Winter and Spring 2010, Page 39-44  XML PDF (346 K)
Document Type: Research Articles
Author
A. Jahanshahloo*
Department of Mathematics, Islamic Azad University, Science and Research Branch, Tehran, Iran.
Abstract
Traditional DEA models deal with measurements of relative eciency of
DMUs regarding multiple - inputs VS. multiple-outputs. One of the drawbacks
of these model is the neglect of intermediate products or linkong activities. Af-
ter pointing out needs for inclusion of them to DEA models. We propose hybrid
model that can deal with intermediate products formally using this model we
can evaluate divisional eciency of decision making units (DMU) and we show
this model with an example.
Article Title [Persian]
Hybrid model in network DEA
Authors [Persian]
A. Jahanshahloo
Department of Mathematics, Islamic Azad University, Science and Research Branch, Tehran, Iran.
Abstract [Persian]
Traditional DEA models deal with measurements of relative eciency of
DMUs regarding multiple - inputs VS. multiple-outputs. One of the drawbacks
of these model is the neglect of intermediate products or linkong activities. Af-
ter pointing out needs for inclusion of them to DEA models. We propose hybrid
model that can deal with intermediate products formally using this model we
can evaluate divisional eciency of decision making units (DMU) and we show
this model with an example.
Keywords [Persian]
DEA، Network DEA، hybrid model، Divisional efficiency، Overal efficiency
References
[1] Network DEA: A slack - based measure approach by Kaoru Tone, Miki Tsutsui.
[2] Data Envelopment Analysis by Dr. Gr. Jahanshahloo, Dr. F. Hosseinzadeh Lot ,
Dr. H. Nikomaram.

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