2007 RudimentsOfRoughSets

(Pawlak & Skowron, 2007) ⇒ Zdzislaw Pawlak, Andrzej Skowron. (2007). “of Rough Sets. " In: Information Sciences, 177(1). doi:10.1016/j.ins.2006.06.003

Subject Headings: Rough Set, Rough Set Theory Vague concepts; Information and decision systems; (in)Discernibility; Approximation spaces; Set approximations; Rough sets; Rough membership functions; Reducts; Decision rules; Dependencies of attributes; Boolean reasoning.

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Cited By

~485 http://scholar.google.com/scholar?cites=12426832771758688143

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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 set-based research directions and applications.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2007 RudimentsOfRoughSets	Zdzislaw Pawlak Andrzej Skowron			of Rough Sets		Library and Information Science Discipline	http://logic.mimuw.edu.pl/publikacje/ZP-AS-InfSci07-1.pdfRudiments	10.1016/j.ins.2006.06.003		2007