Fuzzy fractional-order model of the novel coronavirus

Abstract

In this paper, a novel coronavirus infection system with a fuzzy fractional differential equation defined in Caputo's sense is developed. By using the fuzzy Laplace method coupled with Adomian decomposition transform, numerical results are obtained for better understanding of the dynamical structures of the physical behavior of COVID-19. Such behavior on the general properties of RNA in COVID-19 is also investigated for the governing model. The results demonstrate the efficiency of the proposed approach to address the uncertainty condition in the pandemic situation.

On the existence and stability of fuzzy CF variable fractional differential equation for COVID-19 epidemic

“…Definition 1 ( [12,13]). Let Λ ∶ ℝ → [0, 1] be a fuzzy set of the real line satisfies the following conditions:…”

“…Then, it is called a fuzzy number. Definition 2 ( [12,13]). On a fuzzy number Λ , the -level set is defined by where ∈ (0, 1] and h ∈ ℝ.…”

Evolutionary optimized Padé approximation scheme for analysis of covid-19 model with crowding effect

“…In 2020, Kim et al proposed that staying home, keeping distance and early detection are the core points in controlling the spread of Covid-19 [20] . Some well-known models related to Covid-19 with different mathematical strategies are presented in the literature referred to in this study [21] , [22] , [23] , [24] , [25] , [26] , [27] , [28] , [29] .…”

Identification of dominant risk factor involved in spread of COVID-19 using hesitant fuzzy MCDM methodology

“…MCDM techniques along with the algorithm spherical normal fuzzy environment (SpNoF) was used for the selection of mask, by the authors of [8] . The authors of [9] , [10] , [11] , [12] , [13] developed and formulated mathematical models to predict the dynamic behavior of the disease. The model also checked whether the disease was transmitted from dead bodies to human.…”