ROUGH SET APPROACH FOR FEATURE SELECTION AND GENERATION OF CLASSIFICATION RULES OF HYPOTHYROID DATA

Abstract

Rough Set theory (RST) has been successfully employed in several researches for feature selection, classification, dependencies among the attributes and rule induction. This paper presents two applications using rough sets. The first application deals with feature selection which uses RST for classifying hypothyroidism. The second application deals with generating classification rules from 498 samples of hypothyroid data.