Fuzzy Rule-Based System for Predicting Daily Case in COVID-19 Outbreak

摘要

The Covid-19 outbreak appeared in Wuhan in December 2019 and spread rapidly all over the world. The Covid-19 disease does not yet have a clinically proven vaccine and drug for treatment. The most important physical factors in reducing the spread of the epidemic are washing hands, reducing social distance and using a mask. Today in addition to clinical studies, computer-aided studies are also widely carried out for Covid-19 outbreak. Artificial intelligence methods are successfully applied in epidemic studies. In this study, fuzzy rule basing system (FRBS) used to predict the number of Covid-19 daily cases. As a result of the study, the number of daily cases was successfully estimated with FRBS $left(mathrm{R}^{2}=0.96, mathrm{MAE}=186 ext { and } mathrm{RMSE}=254ight)$.