On rough sets, their recent extensions and applications

N. Mac Parthaláin; Q. Shen; N. Mac Parthaláin; Q. Shen

doi:10.1017/S0269888910000263

2010 Volume 25

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RESEARCH ARTICLE Open Access

On rough sets, their recent extensions and applications

N. Mac Parthaláin^1,,
Q. Shen^1,

Department of Computer Science

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Corresponding authors: N. Mac Parthaláin ; Q. Shen

Published online: 01 December 2010
The Knowledge Engineering Review 25, Article number: 10.1017/S0269888910000263 (2010) | Cite this article

Abstract

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.
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N. Mac Parthaláin, Q. Shen. 2010. On rough sets, their recent extensions and applications. The Knowledge Engineering Review. 25:263 doi: 10.1017/S0269888910000263

N. Mac Parthaláin, Q. Shen. 2010. On rough sets, their recent extensions and applications. The Knowledge Engineering Review. 25:263 doi: 10.1017/S0269888910000263

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On rough sets, their recent extensions and applications

N. Mac Parthaláin^1,,
Q. Shen^1,

Department of Computer Science

Corresponding authors: N. Mac Parthaláin ; Q. Shen

Published online: 01 December 2010

The Knowledge Engineering Review 25, Article number: 10.1017/S0269888910000263 (2010) | Cite this article

Abstract: 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.

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The authors wish to thank the referees for their invaluable advice in revising this paper.

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Cite this article

N. Mac Parthaláin, Q. Shen. 2010. On rough sets, their recent extensions and applications. The Knowledge Engineering Review. 25:263 doi: 10.1017/S0269888910000263

N. Mac Parthaláin, Q. Shen. 2010. On rough sets, their recent extensions and applications. The Knowledge Engineering Review. 25:263 doi: 10.1017/S0269888910000263

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On rough sets, their recent extensions and applications

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