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Title A study on vague-valued hesitant fuzzy graph with application
Type JournalPaper
Keywords fuzzy graph, vague graph, vague-valued hesitant fuzzy graph, cartesian product, strong product, isomorphism
Abstract The hesitant fuzzy graph (HFG) is one of the most powerful tools to find the strongest influential person in a network. Many problems of practical interest can be modeled and solved by using HFG algorithms. HFGs, belonging to the FG family, have good capabilities when faced with problems that cannot be expressed by FGs. The vague-valued hesitant fuzzy graph (VVHFG) is the generalization of the HFG. A VVHFG is a powerful and useful tool to find the influential person in various parts, such as meetings, conferences, and every group discussion. In this study, we introduce a new concept of the VVHFG. Our purpose is to develop a notion of the VVHFG and also to present some basic definitions, notations, remarks, and proofs related to VVHFGs. We propose a numerical method to find the most dominating person using our proposed work. Finally, an application of the VVHFG in decision-making has been introduced.
Researchers masomeh mojahedfar (Fifth Researcher), ali Asghar Talebi (Fourth Researcher), Saeed Kosari (Third Researcher), Ruxian Chen (Second Researcher), Yongsheng Rao (First Researcher)