Decision Making in an Information System Via Pawlak’s Rough Approximation

Abstract

The original rough set model was based on a special kind of topological structure whose partition resulted from an equivalence relation. We have shown that real-world problems can be dealt with using the modern topological structure induced by Pawlak’s rough approximation. In this research, actual information was collected for some patients in hospitals, health centers, isolation centers and some symptoms were recorded through “ the World Health Organization” website enabled us analyze their data. By establishing an information system in which data can be analyzed using rough topology in order to draw conclusion about the most important symptoms in disease conPirmation.