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Bio-Inspired Numerical Analysis of COVID-19 with fuzzy Parameters

Computers, Materials & Continua 2022年第8期72卷 3213-3229页

作者： F.M.Allehiany Fazal Dayan F.F.Al-Harbi Nesreen Althobaiti Nauman Ahmed Muhammad Rafiq Ali Raza Mawahib Elamin Department of Mathematical Sciences College of Applied SciencesUmm Al-Qura UniversityMakkah21955Saudi Arabia Department of Mathematics and Statistics University of LahoreLahorePakistan Department of Mathematics School of ScienceUniversity of Management and TechnologyLahorePakistan Department of Physics College of SciencePrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Mathematics and Statistics College of ScienceTaif UniversityTaif21944Saudi Arabia Department of Mathematics Faculty of SciencesUniversity of Central PunjabLahorePakistan Department of Mathematics Govt.Maulana Zafar Ali Khan Graduate College WazirabadPunjab Higher Education Department(PHED)Lahore54000Pakistan Department of Mathematics College of Science and ArtsQassim UniversityRiyadh Al KhabraSaudi Arabia

Fuzziness or uncertainties arise due to insufficient knowledge,experimental errors,operating conditions and parameters that provide inaccurate *** concepts of susceptible,infectious and recovered are uncertain due to the different degrees in susceptibility,infectivity and recovery among the individuals of the *** differences can arise,when the population groups under the consideration having distinct habits,customs and different age groups have different degrees of resistance,*** realistic models are needed which consider these different degrees of susceptibility infectivity and recovery of the *** this paper,a Susceptible,Infected and Recovered(SIR)epidemic model with fuzzy parameters is *** infection,recovery and death rates due to the disease are considered as fuzzy *** basic reproduction number and fuzzy equilibrium points have been derived for the studied *** is then solved numerically with three different techniques,forward Euler,Runge-Kutta fourth order method(RK-4)and the nonstandard finite difference(NSFD)methods *** NSFD technique becomes more efficient and reliable among the others and preserves all the essential features of a continuous dynamical system.

关键词： fuzzy parameters SIR model NSFD scheme fuzzy equilibrium points fuzzy stability analysis

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