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dc.contributor.authorDiker, Murat
dc.date.accessioned2019-12-16T09:39:54Z
dc.date.available2019-12-16T09:39:54Z
dc.date.issued2013
dc.identifier.issn0304-3975
dc.identifier.urihttps://doi.org/10.1016/j.tcs.2012.12.020
dc.identifier.urihttp://hdl.handle.net/11655/19767
dc.description.abstractIt is known that the theories of rough sets and fuzzy sets have successful applications in computing. Textures, as a theoretical model, provide a new perspective for both rough sets and fuzzy sets. Indeed, recent papers have shown that there is a natural link between rough sets and textures while a texture is an alternative point-set based setting for fuzzy sets. Relations are representatives of information systems and induce approximation operators. Therefore, the first step for the categorical discussions on rough sets involves the category REL of sets and relations. In this context, we observe that power sets and pairs of rough set approximation operators form a category denoted by R-APR. In particular, we prove that R-APR is isomorphic to a full subcategory of the category cdrTex whose objects are complemented textures and morphisms are complemented direlations. Therefore, cdrTex may be regarded as a suitable abstract model of rough set theory. Here, we show that R-APR and cdrTex are new examples of dagger symmetric monoidal categories. (C) 2012 Elsevier B.V. All rights reserved.
dc.language.isoen
dc.publisherElsevier Science Bv
dc.relation.isversionof10.1016/j.tcs.2012.12.020
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectComputer Science
dc.titleCategories of Rough Sets and Textures
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.relation.journalTheoretical Computer Science
dc.contributor.departmentMatematik
dc.identifier.volume488
dc.identifier.startpage46
dc.identifier.endpage65
dc.description.indexWoS
dc.description.indexScopus


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