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Certain Concepts of Interval-Valued Intuitionistic Fuzzy Graphs with an Application
Author(s) -
Peng Xu,
Hao Guan,
Ali Asghar Talebi,
M. Ghassemi,
Hossein Rashmanlou
Publication year - 2022
Publication title -
advances in mathematical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.283
H-Index - 23
eISSN - 1687-9139
pISSN - 1687-9120
DOI - 10.1155/2022/6350959
Subject(s) - enhanced data rates for gsm evolution , interval (graph theory) , fuzzy logic , computer science , mathematics , graph , discrete mathematics , combinatorics , artificial intelligence
Interval-valued intuitionistic fuzzy graph (IVIFG), belonging to the FGs family, has good capabilities when facing with problems that cannot be expressed by FGs. When an element membership is not clear, neutrality is a good option that can be well supported by an IVIFG. The previous definitions of limitations in edge irregular FG have led us to offer new definitions in IVIFGs. Hence, in this paper, some types of edge irregular interval-valued intuitionistic fuzzy graphs (EI-IVIFGs) such as neighborly edge totally irregular (NETI), strongly edge irregular (SEI), and strongly edge totally irregular (SETI) are introduced. A comparative study between NEI-IVIFGs and NETI-IVIFGs is done. With the help of IVIFGs, the most efficient person in an organization can be identified according to the important factors that can be useful for an institution. Finally, an application of IVIFG has been introduced.

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