新型冠状病毒的模糊分数阶模型。

IF 4.1 3区数学 Q1 Mathematics

Advances in Difference Equations Pub Date : 2020-01-01 Epub Date: 2020-09-05 DOI:10.1186/s13662-020-02934-0

S Ahmad, A Ullah, K Shah, S Salahshour, A Ahmadian, T Ciano

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引用次数: 0

摘要

本文建立了一个新颖的冠状病毒感染系统，其中包含一个在卡普托意义上定义的模糊分数微分方程。通过使用与 Adomian 分解变换相结合的模糊拉普拉斯法，获得了数值结果，从而更好地理解了 COVID-19 物理行为的动态结构。此外，还研究了支配模型对 COVID-19 中 RNA 一般特性的影响。结果表明，所提出的方法能有效解决大流行病中的不确定性条件。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

$Fuzzy fractional-order model of the novel coronavirus.$

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Fuzzy fractional-order model of the novel coronavirus.

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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来源期刊

Advances in Difference Equations 数学-数学

自引率

0.00%

发文量

审稿时长

4-8 weeks

期刊介绍： The theory of difference equations, the methods used, and their wide applications have advanced beyond their adolescent stage to occupy a central position in applicable analysis. In fact, in the last 15 years, the proliferation of the subject has been witnessed by hundreds of research articles, several monographs, many international conferences, and numerous special sessions. The theory of differential and difference equations forms two extreme representations of real world problems. For example, a simple population model when represented as a differential equation shows the good behavior of solutions whereas the corresponding discrete analogue shows the chaotic behavior. The actual behavior of the population is somewhere in between. The aim of Advances in Difference Equations is to report mainly the new developments in the field of difference equations, and their applications in all fields. We will also consider research articles emphasizing the qualitative behavior of solutions of ordinary, partial, delay, fractional, abstract, stochastic, fuzzy, and set-valued differential equations. Advances in Difference Equations will accept high-quality articles containing original research results and survey articles of exceptional merit.