Author/Authors :
Karamali، L. نويسنده Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran , , Memariani، A. نويسنده Department of Mathematics and Computer Science, University of Economic Sciences, Tehran, Iran , , jahanshahloo، G.R نويسنده islamic zad university, ,
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.
