As many readers may know, graph theory is a fundamental branch of mathematics that
examines networks consisting of nodes and edges, with a focus on their paths, structures …

The second volume of “Advancing Uncertain Combinatorics through Graphization,
Hyperization, and Uncertainization: Fuzzy, Neutrosophic, Soft, Rough, and Beyond” …

As many readers may know, graph theory is a fundamental branch of mathematics that
explores networks made up of nodes and edges, focusing on their paths, structures, and …

Graph theory is afundamental branch of mathematicsthat studiesnetworksconsisting of
nodes (vertices) and their connections (edges). Extensive research has been conducted on …

The notion of single valued neutrosophic sets is a generalization of fuzzy sets, intuitionistic
fuzzy sets. We apply the concept of single valued neutrosophic sets, an instance of …

The single valued neutrosophic graph is a new version of graph theory presented recently
as a generalization of fuzzy graph and intuitionistic fuzzy graph. The single valued …

We introduce the notion of strong intuitionistic fuzzy graphs and investigate some of their
properties. We discuss some propositions of self complementary and self weak …

The concept of neutrosophic sets can be utilized as a mathematical tool to deal with
imprecise and unspecified information. In this paper, we apply the concept of single-valued …

Hypergraphs are considered a useful tool for modeling system architectures and data
structures and to represent a partition, covering and clustering in the area of circuit design. In …

Recently, bipolar fuzzy graph is a growing research topic as it is the generalization of fuzzy
graphs. In this paper, at first we define three new operations on bipolar fuzzy graphs, viz …