Intuitionistic fuzzy set of Γ-submodules and its application in modeling spread of viral diseases, mutated COVID-n, via flights

Narjes Firouzkouhi, Abbas Amini, Chun Cheng, Ali Zarrabi, Bijan Davvaz

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)5134-5151
Number of pages18
JournalInternational Journal of Intelligent Systems
Volume37
Issue number8
DOIs
Publication statusPublished - 2022

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