Abstract
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 articles
on rough sets and related topics that have been published
in a variety of international journals, symposia, workshops, and international
conferences in recent years. In addition,
many international workshops and conferences have included special
sessions on the theory and applications of rough
sets in their programs. Rough set theory has led to many interesting
applications and extensions. It seems that the rough
set approach is fundamentally important in artificial intelligence
and cognitive sciences, especially in research areas such as
machine learning, intelligent systems, inductive reasoning, pattern
recognition, mereology, knowledge discovery, decision
analysis, and expert systems. In the article, we present the basic
concepts of rough set theory and point out some rough setbased
research directions and applications.
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