Intuitionistic fuzzy set of ?-submodules and its application in modeling spread of viral diseases, mutated COVID-n, via flights
dc.authorid | Ali Zarrabi / 0000-0003-0391-1769 | en_US |
dc.authorscopusid | Ali Zarrabi / 23483174100 | en_US |
dc.authorwosid | Ali Zarrabi / U-2602-2019 | |
dc.contributor.author | Firouzkouhi, Narjes | |
dc.contributor.author | Amini, Abbas | |
dc.contributor.author | Cheng, Chun | |
dc.contributor.author | Zarrabi, Ali | |
dc.contributor.author | Davvaz, Bijan | |
dc.date.accessioned | 2021-11-25T12:22:10Z | |
dc.date.available | 2021-11-25T12:22:10Z | |
dc.date.issued | 2021 | en_US |
dc.department | İstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Biyomedikal Mühendisliği Bölümü | en_US |
dc.description.abstract | In this study, we generalize fuzzy (Formula presented.) -module, as intuitionistic fuzzy (Formula presented.) -submodule of (Formula presented.) -module (IF (Formula presented.) M), and utilize it for modeling the spread of coronavirus in air travels. Certain fundamental features of intuitionistic fuzzy (Formula presented.) -submodule are provided, and it is proved that IF (Formula presented.) M can be considered as a complete lattice. Some elucidatory examples are demonstrated to explain the properties of IF (Formula presented.) M. The relevance between the upper and lower (Formula presented.) -level cut and intuitionistic fuzzy (Formula presented.) -submodules are presented and the characteristics of upper and lower under image and inverse image of IF (Formula presented.) M are acquired. It is verified that the image and inverse image of intuitionistic fuzzy (Formula presented.) -submodule are preserved under the module homomorphism. The obtained IF (Formula presented.) M is used to model the aerial transition of viral diseases, that is, COVID-n, via flights. | en_US |
dc.identifier.citation | Firouzkouhi, N., Amini, A., Cheng, C., Zarrabi, A., & Davvaz, B. Intuitionistic fuzzy set of Γ‐submodules and its application in modeling spread of viral diseases, mutated COVID‐n, via flights. International Journal of Intelligent Systems. | en_US |
dc.identifier.doi | 10.1002/int.22754 | en_US |
dc.identifier.issn | 0884-8173 | en_US |
dc.identifier.scopus | 2-s2.0-85119254153 | en_US |
dc.identifier.scopusquality | Q1 | en_US |
dc.identifier.uri | https://doi.org/10.1002/int.22754 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12713/2278 | |
dc.identifier.wos | WOS:000720253800001 | en_US |
dc.identifier.wosquality | Q1 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.indekslendigikaynak | PubMed | en_US |
dc.institutionauthor | Zarrabi, Ali | |
dc.language.iso | en | en_US |
dc.publisher | John Wiley and Sons Ltd | en_US |
dc.relation.ispartof | International Journal of Intelligent Systems | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Homomorphism | en_US |
dc.subject | Image and Inverse Image | en_US |
dc.subject | Intuitionistic Fuzzy Set | en_US |
dc.subject | Intuitionistic Fuzzy Γ-Submodule | en_US |
dc.title | Intuitionistic fuzzy set of ?-submodules and its application in modeling spread of viral diseases, mutated COVID-n, via flights | en_US |
dc.type | Article | en_US |