Çankaya GCRIS Standart veritabanının içerik oluşturulması ve kurulumu Research Ecosystems (https://www.researchecosystems.com) tarafından devam etmektedir. Bu süreçte gördüğünüz verilerde eksikler olabilir.
 

Construction and numerical analysis of a fuzzy non-standard computational method for the solution of an SEIQR model of COVID-19 dynamics

Loading...
Thumbnail Image

Date

2022

Authors

Dayan, Fazal
Ahmed, Nauman
Rafiq, Muhammad
Akgül, Ali
Raza, Ali
Ahmad, Muhammad Ozair
Jarad, Fahd

Journal Title

Journal ISSN

Volume Title

Publisher

Open Access Color

OpenAIRE Downloads

OpenAIRE Views

Research Projects

Organizational Units

Journal Issue

Events

Abstract

This current work presents an SEIQR model with fuzzy parameters. The use of fuzzy theory helps us to solve the problems of quantifying uncertainty in the mathematical modeling of diseases. The fuzzy reproduction number and fuzzy equilibrium points have been derived focusing on a model in a specific group of people having a triangular membership function. Moreover, a fuzzy non-standard finite difference (FNSFD) method for the model is developed. The stability of the proposed method is discussed in a fuzzy sense. A numerical verification for the proposed model is presented. The developed FNSFD scheme is a reliable method and preserves all the essential features of a continuous dynamical system.

Description

Keywords

Convergence Analysis, Covid-19 Model, Fuzzy Nonstandard Finite Difference Technique, Fuzzy Parameters, Stability Analysis

Turkish CoHE Thesis Center URL

Fields of Science

Citation

Dayan, Fazal;...et.al. (2022). "Construction and numerical analysis of a fuzzy non-standard computational method for the solution of an SEIQR model of COVID-19 dynamics", AIMS Mathematics, Vol.7, No.5, pp.8449-8470.

WoS Q

Scopus Q

Source

AIMS Mathematics

Volume

7

Issue

5

Start Page

8449

End Page

8470