Author/Authors :
jahanshahloo، G.R نويسنده islamic zad university, , , Behzadi، M.H نويسنده Department of Statistics, Science and Research Branch, Islamic Azad University, Tehran, Iran , , Mirbolouki، M نويسنده Department of Mathematics , Science and Research Branch, Islamic Azad University, Tehran, Iran ,
Abstract :
Data Envelopment Analysis (DEA) is a nonparametric mathematical programming approach
for evaluating efficiency of a set of decision making units (DMUs). Since the
number of efficient DMUs is more than one, there is a necessity of having methods to
discriminate between efficient DMUs. In classic DEA it is assumed that data have deterministic
values. Through real world applications this assumption may not be satisfied.
On the other hand, data may have stochastic essence. In this paper a method for ranking
stochastic DMUs is suggested which is based on the reliability of efficiency of DMUs. Using
numerical example, we demonstrate how to use the results
