Islamic Azad University
In this paper, the authors discuss on the necessity of applying data mining operators on information systems containing a set of variables which describe the characteristics and behaviors of a specific system and could be exploited in approximating system's functionality. For the problem of function approximation, they developed a new approach combining two intelligent methods. At first they used an algorithm based on the notions of rough set theory as a preprocessor to their information system. Afterward an artificial neural network is employed as a function approximate to obtain values for decision attributes of information system while values of condition ones are passed to the network.