Rough set theory (RST) has enjoyed an enormous amount of attention in recent years and
has been applied to many real-world problems including data mining, pattern recognition …

Along the years, rough set theory has earned a well-deserved reputation as a sound
methodology for dealing with imperfect knowledge in a simple though mathematically sound …

Volume III of the Transactions on Rough Sets (TRS) introduces advances in the theory and
application of rough sets. These advances have far-reaching impli-tions in a number of …

Worldwide, there has been a rapid growth in interest in rough set theory and its applications
in recent years. Evidence of this can be found in the increasing number of high-quality …

The aim of this paper is to give rudiments of rough set theory and present some recent
research directions proposed by the author. Rough set theory is a new mathematical …

The chapter is focused on the data mining aspect of the applications of rough set theory.
Consequently, the theoretical part is minimized to emphasize the practical application side …

The rough set (RS) approach was proposed by Pawlak as a tool to deal with imperfect
knowledge. Over the years the approach has attracted attention of many researchers and …

In recent years rough set theory has attracted the attention of many researchers and
practitioners all over the world, who have contributed essentially to its development and …

This volume contains the papers selected for presentation at the Third Inter-tional
Conference on Rough Sets and Current Trends in Computing (RSCTC 2002) held at Penn …

This volume contains the papers selected for presentation at the Third Inter-tional
Conference on Rough Sets and Current Trends in Computing (RSCTC 2002) held at Penn …