Topics in Rough Set Theory

This book discusses current topics in rough set theory. Since Pawlak's rough set theory was first proposed to offer a basis for imprecise and uncertain data and reasoning from data, many workers have investigated its foundations and applications. Examining various topical issues, including object-oriented rough set models, recommendation systems, decision tables, and granular computing, the book is a valuable resource for students and researchers in the field.

Examines current topics in rough set theory Discusses recent research issues, including object-oriented rough set models, recommendation systems, decision tables, and granular computing Includes current applications in granular computing

Contenu
Introduction.- Overview of Rough Set Theory.- Object Reduction in Rough Set Theory.