Author/Authors :
Behzadi، M.B نويسنده Department of Statistics, Science and ResearchBranch, Islamic Azad University, Tehran, Ira , , Nematollahi، N نويسنده Department of Statistics, Faculty of Economics, Allameh Tabatabai University, Tehran, Iran , , Mirbolouki، M نويسنده Department of Mathematics , Science and Research Branch, Islamic Azad University, Tehran, Iran ,
Abstract :
Data Envelopment Analysis (DEA) models which evaluate the effeciency of a set of decision
making units (DMUs) are unable to discriminate between effeciency DMUs. The problem
of discriminating between these effecient DMUs is an interesting subject. A large number
of methods for fully ranking both effecient and ineffecient DMUs have been proposed.
Through real world applications, analysis may encounter data that are not deterministic
or on have a stochastic essence but whose distribution can be defined by collecting data in
successive periods and by statistical methods. In this paper, a method for ranking stochastic
effecient DMUs is suggested which is based on the full ineffecient frontier method. Using
a numerical example, we will demonstrate how to use the result
