Cihan, Pınar2022-05-112022-05-112020978-1728190907https://doi.org/10.1109/ISMSIT50672.2020.9254714https://hdl.handle.net/20.500.11776/61284th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 -- 22 October 2020 through 24 October 2020 -- -- 165025The 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 (R2 = 0.96, MAE = 186 and RMSE = 254).. © 2020 IEEE.en10.1109/ISMSIT50672.2020.9254714info:eu-repo/semantics/openAccessartificial intelligenceCOVID-19daily casefuzzy rule basing systempredictionConference Object2-s2.0-85097657895