Performance evaluation of Iran universities with Stochastic Data Envelopment Analysis (SDEA)

  Performance evaluation of universities is an important issue between researchers. Classic data envelopment analysis (DEA) models with deterministic data have been used by many authors to measure efficiency of universities in different countries. However, DEA with stochastic data are, rarely used to measure efficiency of universities. In this paper, input oriented model in stochastic data envelopment analysis is used to evaluate universities in Iran. In addition, super efficiency model is developed in stochastic DEA to rank stochastic efficient units. To obtain numerical results with stochastic data, a deterministic equivalent of each stochastic model is used which can be converted to a quadratic program. Thirty-three Iran universities have been considered in this study for which computational results of both classic and stochastic approaches are obtained.