In this study, we consider higher order linear differential equations with additional conditions
(initial and/or boundary) given by interactive fuzzy numbers. The concept of interactivity …

In this paper, we propose and analyze a fuzzy SIR model with an asymptotic transmission
rate. Specifically, the fuzziness is due to the consideration of the disease transmission rate …

Proposes an application of fuzzy set theory to model epidemiological problems. Fuzzy logic
has been revealed as a powerful predictive tool in the epidemiology of infectious diseases …

In this article, a susceptible, infectious, and recovered (SIR) model with fuzzy parameters is
discussed. These concepts are uncertain due to the different degrees of susceptibility …

In this paper, an attempt is made to understand the transmission dynamics of Ebola virus
disease (EVD) incorporating fuzziness in all biological parameters due to its natural …

In this paper, we analyze a model of Influenza spread with an asymptotic transmission rate,
wherein the disease transmission rate and death rate are considered as fuzzy sets …

The purpose of this study is to investigate the SIR epidemic model in a fuzzy environment
with a nonlinear incidence rate. The technique suggested to utilize the statistics to determine …

The focus of this study is on developing an SEIQR model with fuzzy parameters for COVID-
19. The SEIQR model is built around the corona virus load, efficacy of vaccine, treatment, no …