On rough sets, their recent extensions, and applications

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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 summarise 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.
Original languageEnglish
Pages (from-to)365-395
Number of pages31
JournalKnowledge Engineering Review
Issue number4
Early online date26 Nov 2010
Publication statusPublished - Dec 2010


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