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All Journal IAES International Journal of Artificial Intelligence (IJ-AI)
Esmail Mahmmod, Sahar
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Computer Science & IT Engineering

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Coronavirus risk factor by Sugeno fuzzy logic Qasim Hasan, Saba; Omar Al-Nima, Raid Rafi; Esmail Mahmmod, Sahar
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i2.pp1420-1429

Abstract

World recently faced big challenges with the pandemic of coronavirus disease 2019 (COVID-19). Governments suffer from the problem of appropriately identifying the risk factor of this virus and establishing their safety procedures accordingly. This paper concentrates on designing a coronavirus risk factor (CRF) by the power of Sugeno fuzzy logic (SFL). The main advantage of the CRF is that it can provides a quick and suitable risk evaluation. According to the degree of severity, three essential parameters are considered: number of infected cases, number of people in intensive care units (ICU) and number of deaths. All of these parameters are provided per population. Such interesting and promising outcomes are attained, where the total effect is found equal to 95.3%.
Co-Authors Omar Al-Nima, Raid Rafi Qasim Hasan, Saba