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dc.contributor.authorAlharbi, Nof
dc.contributor.authorAydi, Hassen
dc.contributor.authorOzel, Cenap
dc.contributor.authorTopal, Selcuk
dc.date.accessioned2021-12-16T09:06:51Z
dc.date.available2021-12-16T09:06:51Z
dc.date.issued2020
dc.identifier.issn1758-8715
dc.identifier.urihttps://doi.org/10.1504/IJIEI.2020.111238
dc.identifier.urihttp://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/10013
dc.description.abstractThe main aim of this study is to show how to evaluate classifications of data of Chronic Thromboembolic Pulmonary Hypertension (CTEPH) symptoms by using classical rough, classical rough nano, based covering rough and based covering rough nano topologies r
dc.description.sponsorshipDeanship for Scientific Research (DSR) at King Abdulaziz University [KEP-PhD-2-130-39]
dc.language.isoEnglish
dc.publisherInderscıence Enterprıses Ltd
dc.sourceInternatıonal Journal Of Intellıgent Engıneerıng Informatıcs
dc.titleRough topologies on classical and based covering rough sets with applications in making decisions on chronic thromboembolic pulmonary hypertension
dc.typeArticle
dc.identifier.issue3
dc.identifier.startpage173
dc.identifier.endpage185
dc.identifier.doi10.1504/IJIEI.2020.111238
dc.identifier.wosWOS:000595472800001
dc.identifier.volume8


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