NDLI: Computational Analysis for Computer Network Model with Fuzziness

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Computational Analysis for Computer Network Model with Fuzziness

Content Provider	Tech Science Press
Author	Ahmed, Nauman Baleanu, Dumitru Ullah, Sami Raza, Ali Dayan, Fazal Rafiq, Muhammad Wafa, F. Alfwzan Alfwzan, Wafa
Abstract	A susceptible, exposed, infectious, quarantined and recovered (SEIQR) model with fuzzy parameters is studied in this work. Fuzziness in the model arises due to the different degrees of susceptibility, exposure, infectivity, quarantine and recovery among the computers under consideration due to the different sizes, models, spare parts, the surrounding environments of these PCs and many other factors like the resistance capacity of the individual PC against the virus, etc. Each individual PC has a different degree of infectivity and resistance against infection. In this scenario, the fuzzy model has richer dynamics than its classical counterpart in epidemiology. The reproduction number of the developed model is studied and the equilibrium analysis is performed. Two different techniques are employed to solve the model numerically. Numerical simulations are performed and the obtained results are compared. Positivity and convergence are maintained by the suggested technique which are the main features of the epidemic models.
Related Links	https://www.techscience.com/iasc/v37n2/53239
Starting Page	1909
Ending Page	1924
ISSN	10798587
DOI	10.32604/iasc.2023.039249
Issue Number	2
Journal	Intelligent Automation & Soft Computing (IASC)
Volume Number	37
e-ISSN	2326005X
Language	English
Publisher Date	2023-06-21
Access Restriction	Open
Subject Keyword	convergence fuzzy parameters NSFD method computer virus stability
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence

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