Electerical Engineering, Tarbiat Modarres University
Problem of knowledge analysis for decision support system is the most difficult task of information systems. This paper presents a new approach based on notions of mathematical theory of Rough Sets to solve this problem. Using these concepts a systematic approach has been developed to reduce the size of decision database and extract reduced rules set from vague and uncertain data. The method has been applied to an imprical medical database with large scale data size and the final reduced and core rules has been extracted using concepts of this theory.