Rough sets, their extensions and applications

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dc.contributor.author Shen, Qiang
dc.contributor.author Jensen, Richard
dc.date.accessioned 2008-01-21T16:59:03Z
dc.date.available 2008-01-21T16:59:03Z
dc.date.issued 2007
dc.identifier.citation Shen , Q & Jensen , R 2007 , ' Rough sets, their extensions and applications ' International Journal of Automation and Computing , vol 4 , no. 3 , pp. 217-228 . , 10.1007/s11633-007-0217-y en
dc.identifier.issn 1476-8186
dc.identifier.other PURE: 73950
dc.identifier.other dspace: 2160/444
dc.identifier.uri http://hdl.handle.net/2160/444
dc.description Q. Shen and R. Jensen, 'Rough sets, their extensions and applications,' International Journal of Automation and Computing (IJAC), vol. 4, no. 3, pp. 217-218, 2007. en
dc.description.abstract Rough set theory provides a useful mathematical foundation for developing automated computational systems that can help understand and make use of imperfect knowledge. Despite its recency, the theory and its extensions have been widely applied to many problems, including decision analysis, data-mining, intelligent control and pattern recognition. This paper presents an outline of the basic concepts of rough sets and their major extensions, covering variable precision, tolerance and fuzzy rough sets. It also shows the diversity of successful applications these theories have entailed, ranging from financial and business, through biological and medicine, to physical, art, and meteorological. en
dc.format.extent 2 en
dc.language.iso eng
dc.relation.ispartof International Journal of Automation and Computing en
dc.subject Rough sets en
dc.subject data processing en
dc.subject fuzzy sets en
dc.title Rough sets, their extensions and applications en
dc.type Text en
dc.type.publicationtype Article (Journal) en
dc.identifier.doi http://dx.doi.org/10.1007/s11633-007-0217-y
dc.contributor.institution Department of Computer Science en
dc.contributor.institution Advanced Reasoning Group en
dc.description.status Peer reviewed en


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