Rough Set Theory, proposed in 1982 by Zdzislaw Pawlak, is in a state of constant
development. Its methodology is concerned with the classification and analysis of imprecise …

This paper gives basic ideas of rough set theory a new approach to data analysis. The lower
and upper approximation of a set, the basic operations of the theory, are intuitively explained …

Rough set theory was proposed by Zdzislaw Pawlak (1982, 1991) in the early 1980s. Since
then we have witnessed a systematic, worldwide growth of interest in rough set theory and …

Since introduction of the theory of rough set in early eighties, considerable work has been
done on the development and application of this new theory. The paper provides a review of …

Rough set theory was proposed by Zdzis law Pawlak 24, 25] in the early 1980's. Since then
we have witnessed a systematic, world-wide growth of interest in rough set theory and its …

The paper discusses basic concepts of rough set theory. Starting point of the theory are data
tables which are used to define rudiments of the theory: approximations, dependency and …

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 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 …

The present state of rough set theory and its applications is presented by articles in this
collection as well as by research papers listed in APPENDIX 1 to which we refer the reader …

The theory of rough sets is a relatively new research direction concerned with the analysis
and modeling of classification and decision problems involving vague, imprecise, uncertain …