Rough Sets for Feature Selection and Classification: An Overview with Applications

Abstract

Rough set theory provides a useful mathematical concept to draw useful decisions from real life data involving vagueness, uncertainty and impreciseness and is therefore applied successfully in the field of pattern recognition, machine learning and knowledge discovery. This paper presents an overview of basic concepts of rough set theory. The paper also surveys applications of rough sets in feature selection and classification.