Computational Analysis for Computer Network Model with Fuzziness.

Alfwzan, Wafa F.; Baleanu, Dumitru; Dayan, Fazal; Ullah, Sami; Ahmed, Nauman; Rafiq, Muhammad; Raza, Ali

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 andmany other factors like the resistance capacity of the individual PCagainst 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 developedmodel 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.

NETWORK PC (Computer); COMPUTER simulation; SPARE parts; COMPUTER viruses; COMPUTER networks; COMPUTERS

Intelligent Automation & Soft Computing, 2023, Vol 37, Issue 2, p1909

1079-8587

Academic Journal

10.32604/iasc.2023.039249