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

Computational Analysis for Computer Network Model with Fuzziness

dc.contributor.authorAlfwzan, Wafa F.
dc.contributor.authorBaleanu, Dumitru
dc.contributor.authorDayan, Fazal
dc.contributor.authorUllah, Sami
dc.contributor.authorAhmed, Nauman
dc.contributor.authorRafiq, Muhammad
dc.contributor.authorRaza, Ali
dc.contributor.authorID56389tr_TR
dc.date.accessioned2023-11-29T12:51:23Z
dc.date.available2023-11-29T12:51:23Z
dc.date.issued2023
dc.departmentÇankaya Üniversitesi, Fen - Edebiyat Fakültesi, Matematik Bölümüen_US
dc.description.abstractA 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.en_US
dc.identifier.citationAlfwzan, Wafa F...et.al. (2023). "Computational Analysis for Computer Network Model with Fuzziness", Intelligent Automation and Soft Computing, Vol.37, No.2, pp.1909-1924.en_US
dc.identifier.doi10.32604/iasc.2023.039249
dc.identifier.endpage1924en_US
dc.identifier.issn10798587
dc.identifier.issue2en_US
dc.identifier.startpage1909en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12416/6692
dc.identifier.volume37en_US
dc.language.isoenen_US
dc.relation.ispartofIntelligent Automation and Soft Computingen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectComputer Virusen_US
dc.subjectConvergenceen_US
dc.subjectFuzzy Parametersen_US
dc.subjectNSFD Methoden_US
dc.subjectStabilityen_US
dc.titleComputational Analysis for Computer Network Model with Fuzzinesstr_TR
dc.titleComputational Analysis for Computer Network Model With Fuzzinessen_US
dc.typeArticleen_US
dspace.entity.typePublication

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