Abstract
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 (R2 = 0.96, MAE = 186 and RMSE = 254)..
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CITATION STYLE
Cihan, P. (2020). Fuzzy Rule-Based System for Predicting Daily Case in COVID-19 Outbreak. In 4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ISMSIT50672.2020.9254714
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