| |
Author  |
Title |
Year |
Publication |
Volume |
Pages |
Links |
|
|
Jahanshahloo, G.R.; Khodabakhshi, M. |
Determining assurance interval for non-Archimedean element in the improving outputs model in DEA |
2004 |
Applied Mathematics and Computation |
151 |
501-506 |
|
|
|
Jahanshahloo, G.R.; Khodabakhshi, M. |
Suitable combination of inputs for improving outputs in DEA with determining input congestion: Considering textile industry of China |
2004 |
Applied Mathematics and Computation |
151 |
263-263 |
|
|
|
Jahanshahloo, G.R.; Khodabakhshi, M. |
Using input-output orientation model for determining most productive scale size in DEA |
2003 |
Applied Mathematics and Computation |
146 |
849-855 |
|
|
|
Khodabakhshi, M. |
An output oriented super-efficiency measure in stochastic data envelopment analysis: Considering Iranian electricity distribution companies |
2010 |
Computers and Industrial Engineering |
58 |
663-671 |
|
|
|
Khodabakhshi, M. |
Estimating most productive scale size with stochastic data in data envelopment analysis |
2009 |
Economic Modelling |
26 |
968-973 |
|
|
|
Khodabakhshi, M. |
A one-model approach based on relaxed combinations of inputs for evaluating input congestion in DEA |
2009 |
Journal of Computational and Applied Mathematics |
230 |
443-450 |
|
|
|
Khodabakhshi, M. |
A super-efficiency model based on improved outputs in data envelopment analysis |
2007 |
Applied Mathematics and Computation |
184 |
695-703 |
|
|
|
Khodabakhshi, M.; Asgharian, M. |
An input relaxation measure of efficiency in stochastic data envelopment analysis |
2009 |
Applied Mathematical Modelling |
33 |
2010-2023 |
|
|
|
Khodabakhshi, M.; Gholami, Y.; Kheirollahi, H. |
An additive model approach for estimating returns to scale in imprecise data envelopment analysis |
2010 |
Applied Mathematical Modelling |
34 |
1247-1257 |
|
|
|
Li, S.; Jahanshahloo, G.R.; Khodabakhshi, M. |
A super-efficiency model for ranking efficient units in data envelopment analysis |
2007 |
Applied Mathematics and Computation |
184 |
638-648 |
|
