Abstract
In this article, we design a mathematical SEQAIMR (susceptible, exposed, quarantined, asymptomatic, symptomatic, isolated, recovered) epidemic model and investigate the nature of the system. We transform the crisp model into the fuzzy model. All the biological parameters are treated as triangular fuzzy numbers (TFNs). With the help of utility function method, the fuzzy model is defuzzified. We use the MATLAB codes to solve the system of equations and to predict different situations under different values of the control parameters. Lastly, optimal control for COVID-19 disease is explained.
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