An Integrated Improved DEA Model and Data Mining Techniquein the Case of Educational System

Traditional Data Envelopment Analysis (DEA)models haven’t the ability of forecasting future efficiency of Decision Making Units (DMUs). Also they cannot determine details of factors related to efficiency or inefficiency. So this paper proposes a hybrid prediction model consists of improved DEA modelthat presented in our previous research and Regression Tree (RT). Presented model is conduct in three stages including Analytic Hierarchy Process - Assurance Region - Joint Multi Data Envelopment (AHP- AR- Joint MLDEA)Model,bootstrapping and regression tree, in order to try to eliminate mentioned weakness of DEA models. Experimental results on the real world case study show the goodness of predictive model based on simplicity and stability.Alsothe extracted rules of regression tree are very useful for future program planning.