A Fuzzy Susceptible-Exposed-Infected-Recovered Model Based on the Confidence Index

In this paper, the susceptible-exposed-infected-recovered (SEIR) model is applied to novel coronavirus disease. With actual data in Georgia, USA, we obtained related parameters such as recovery rate and mortality rate. Then, development of investigated. For more accuracy, consider functions infected number disease duration. These parameters’ are used reflect impact on parameters. Furthermore, coefficients these regarded uncertainties. To obtain uncertain coefficients, fuzzy set theory confidence index adopted. Thus, SEIR proposed.