dc.contributor.author | Alharbi, Nof | |
dc.contributor.author | Aydi, Hassen | |
dc.contributor.author | Ozel, Cenap | |
dc.contributor.author | Topal, Selcuk | |
dc.date.accessioned | 2021-12-16T09:06:51Z | |
dc.date.available | 2021-12-16T09:06:51Z | |
dc.date.issued | 2020 | |
dc.identifier.issn | 1758-8715 | |
dc.identifier.uri | https://doi.org/10.1504/IJIEI.2020.111238 | |
dc.identifier.uri | http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/10013 | |
dc.description.abstract | The 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.sponsorship | Deanship for Scientific Research (DSR) at King Abdulaziz University [KEP-PhD-2-130-39] | |
dc.language.iso | English | |
dc.publisher | Inderscıence Enterprıses Ltd | |
dc.source | Internatıonal Journal Of Intellıgent Engıneerıng Informatıcs | |
dc.title | Rough topologies on classical and based covering rough sets with applications in making decisions on chronic thromboembolic pulmonary hypertension | |
dc.type | Article | |
dc.identifier.issue | 3 | |
dc.identifier.startpage | 173 | |
dc.identifier.endpage | 185 | |
dc.identifier.doi | 10.1504/IJIEI.2020.111238 | |
dc.identifier.wos | WOS:000595472800001 | |
dc.identifier.volume | 8 | |