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 …

This book is dedicated to the memory of Professor Zdzis {\l} aw Pawlak who passed away
almost six year ago. He is the founder of the Polish school of Artificial Intelligence and one of …

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 …

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 …

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 …

This work is an attempt to summarize several approaches aimed at connecting Rough Set
Theory with Artificial Neural Networks. Both methodologies have their place among …

Intelligent decision support is based on human knowledge related to a specific part of a real
or abstract world. When the knowledge is gained by experience, it is induced from empirical …

ABSTRACT The Rough Set (RS) theory can be considered as a tool to reduce the input
dimensionality and to deal with vagueness and uncertainty in datasets. Over the years, there …

The papers on rough set theory and its applications placed in this volume present a wide
spectrum of problems representative to the present. stage of this theory. Researchers from …

Rough set theory provides a useful mathematical foundation for developing automated
computational systems that can help understand and make use of imperfect knowledge …