Decision Making in an Information System Via Pawlak’s Rough Approximation | ||||
| Kafrelsheikh Journal of Information Sciences | ||||
| Volume 4, Issue 2, November 2023 PDF (203.54 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/kjis.2023.250400.1017 | ||||
 View on SCiNiTO | ||||
| Author | ||||
Mahmoud nasef 
| ||||
| Department of Physics and Engineering Mathematics, Faculty of Engineering, | ||||
| Abstract | ||||
| The original rough set model was based on a special kind of topological structure whose partition resulted from an equivalence relation. We have shown that real-world problems can be dealt with using the modern topological struc- ture induced by Pawlak’s rough approximation. In this research, actual in- formation was collected for some patients in hospitals, health centers, isolation centers and some symptoms were recorded through the ” World Health Organi- zation” website enabled us analyze their data. By establishing an information system in which data can be analyzed using rough topology in order to draw conclusion about the most important symptoms in disease confirmation. This paper demonstrates that contemporary topology can effectively address real-world issues. The concepts of modern topology and basis have been deployed to ascertain the determinants of a recent outbreak of the virus ”COVID-19,” widely documented globally, the modern topological model aligns well with clinical applications, as endorsed by medical specialists. | ||||
| Keywords | ||||
| Rough Topology; modern topology; basis; COVID-19 | ||||
|
Statistics Article View: 68 PDF Download: 51 |
||||
