A Systematic Review of Fuzzy Logic Applications for the COVID-19 Pandemic

Abstract

A variety of fuzzy logic approaches have been employed in order to handle uncertainty by examining the capability of fuzzy logic techniques and improve effectiveness in various aspects of the COVID-19 pandemic. After an inclusion-exclusion procedure, a total of 52 articles were chosen from a set of 399 articles. The objectives of this study were 1) to introduce briefly the fuzzy logic concepts, 2) to review the literature, 3) to classify the literature based on the applications of fuzzy logic to COVID-19 pandemic, 4) to emphasize future developments and trends. The application of fuzzy logic includes screening, diagnostics, and forecasting the COVID-19 outbreak. ANFIS approach and its modified models were revealed to be the most commonly employed for estimation of COVID-19 pandemic. Furthermore, the study found that fuzzy decision-making approaches have mostly been used for detection and diagnosis. In this regard, it is anticipated that the findings of this study will provide decison makers with new tools and ideas for combating the COVID-19 epidemic using fuzzy logic.