|
|
|
|
|
 |
Search published articles |
 |
|
Showing 1 results for Karamali
Karamali, Memariani, Jahanshahloo,
Volume 4, Issue 1 (5-2013)
Abstract
Here, we examine the capability of artificial neural networks (ANNs) in sensitivity analysis of the parameters of efficiency analysis model, namely data envelopment analysis (DEA). We are mainly interested to observe the required change of a group of parameters when another group goes under a managerial change, maintaining the score of the efficiency. In other words, this methodology provides a platform for simulating the level of some parameters against the remaining parameters for generating different scenarios, as being in demand for managers.
|
|
|
|
|
|
|
|
|
