Fuzzy fractional-order model of the novel coronavirus

被引：34
|
作者：
Ahmad, S. [1 ]
Ullah, A. [1 ]
Shah, K. [1 ]
Salahshour, S. [2 ]
Ahmadian, A. [3 ,4 ,5 ]
Ciano, T. [4 ,5 ]
机构：
[1] Univ Malakand, Dept Math, Chakdara Dir Lower, Khyber Pakhtunk, Pakistan
[2] Bahcesehir Univ, Fac Engn & Nat Sci, Istanbul, Turkey
[3] Natl Univ Malaysia, Inst IR 40, Bangi 43600, Selangor, Malaysia
[4] Univ Mediterranea Reggio Calabria, Dept Law Econ & Human Sci, Reggio Di Calabria, Italy
[5] Univ Mediterranea Reggio Calabria, Decis Lab, Reggio Di Calabria, Italy
来源：
ADVANCES IN DIFFERENCE EQUATIONS | 2020年 / 2020卷 / 01期
关键词：
Approximate solutions; Fuzzy number; Fuzzy fractional order derivative; Coronavirus infection system; Adomian decomposition method; VISCOUS-FLUID; FLOW;
D O I：
10.1186/s13662-020-02934-0
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
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.
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页数：17
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