Rough topologies on classical and based covering rough sets with applications in making decisions on chronic thromboembolic pulmonary hypertension. (3rd November 2020)

• Record Type: Journal Article
• Authors: Alharbi, Nof; Aydi, Hassen; Özel, Cenap; Topal, Selçuk
• Is Part Of: International journal of intelligent engineering informatics. Volume 8:Number 3(2020)
• Page Start: 173
• Page End: 185
• Publication Date: 2020-11-03
• Subjects: rough topology -- rough nano topology -- rough topology based covering nano topology -- key attributes -- decision making -- strong interior -- weak interior -- weak key patients; Artificial intelligence -- Engineering applications -- Periodicals; Engineering -- Computer programs -- Periodicals; Knowledge management -- Periodicals; 620.0028563
• Languages: English
• ISSNs: 1758-8715

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.