Title: Rough topologies on classical and based covering rough sets with applications in making decisions on chronic thromboembolic pulmonary hypertension

Authors: Nof Alharbi; Hassen Aydi; Cenap Özel; Selçuk Topal

Addresses: Department of Mathematics, King Abdulaziz University, P.O. Box: 80203, Jeddah 21589, Saudi Arabia ' Department of Mathematics, College of Education in Jubail, Imam Abdulrahman Bin Faisal University, P.O. Box: 12020, Industrial Jubail 31961, Saudi Arabia ' Department of Mathematics, King Abdulaziz University, P.O. Box: 80203, Jeddah 21589, Saudi Arabia ' Department of Mathematics, Bitlis Eren University, Bitlis, 13000, Turkey

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 respectively. The attributes are examined how effective they are in detecting the disease correctly when the strong and weak, internal and external points defined in the topologies are evaluated together with the symptoms. In addition, the methods used by topologies in the detection of symptoms were explained by pseudo algorithms.

Keywords: rough topology; rough nano topology; rough topology based covering nano topology; key attributes; decision making; strong interior; weak interior; weak key patients.

DOI: 10.1504/IJIEI.2020.111238

International Journal of Intelligent Engineering Informatics, 2020 Vol.8 No.3, pp.173 - 185

Received: 18 Jan 2020
Accepted: 12 Apr 2020
Published online: 16 Nov 2020 *

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