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On rough sets, their recent extensions and applications

Published online by Cambridge University Press:  01 December 2010

N. Mac Parthaláin  and
Q. Shen
N. Mac Parthaláin*
Affiliation:
Department of Computer Science, Aberystwyth University, Aberystwyth, Ceredigion, SY23 3DB, Wales, UK; e-mail: ncm@aber.ac.uk, qqs@aber.ac.uk
Q. Shen*
Affiliation:
Department of Computer Science, Aberystwyth University, Aberystwyth, Ceredigion, SY23 3DB, Wales, UK; e-mail: ncm@aber.ac.uk, qqs@aber.ac.uk
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Abstract

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, and intelligent control. Much research has recently been carried out in respect of both the development of the underlying theory and the application to new problem domains. This paper attempts to summarize the advances in RST, its extensions, and their applications. It also identifies important areas which require further investigation. Typical example application domains are examined which demonstrate the success of the application of RST to a wide variety of areas and disciplines, and which also exhibit the strengths and limitations of the respective underlying approaches.

Type
Articles
Information
The Knowledge Engineering Review , Volume 25 , Issue 4 , December 2010 , pp. 365 - 395
Copyright
Copyright © Cambridge University Press 2010

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