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dc.contributor.author Mac Parthaláin, Neil
dc.contributor.author Shen, Qiang
dc.date.accessioned 2010-11-29T10:29:35Z
dc.date.available 2010-11-29T10:29:35Z
dc.date.issued 2010-11-29
dc.identifier.citation Mac Parthaláin , N & Shen , Q 2010 , ' On rough sets, their recent extensions, and applications ' The Knowledge Engineering Review , pp. 365-395 . en
dc.identifier.other PURE: 163348
dc.identifier.other dspace: 2160/5957
dc.identifier.uri http://hdl.handle.net/2160/5957
dc.description N.Mac Parthaláin and Q. Shen. On rough sets, their recent extensions, and applications, The Knowledge Engineering Review, volume 25, issue 04, pp. 365-395, 2010. en
dc.description.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 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. en
dc.format.extent 31 en
dc.language.iso eng
dc.relation.ispartof The Knowledge Engineering Review en
dc.title On rough sets, their recent extensions, and applications en
dc.type Text en
dc.type.publicationtype Article (Journal) en
dc.contributor.institution Department of Computer Science en
dc.description.status Peer reviewed en


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