In the last decade, concealed by uncertain atmosphere, many algorithms have been studied
deeply to workout the shortest path problem. In this paper, we compared the shortest path …

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

Similarity plays a significant implicit or explicit role in various fields. In some real applications
in decision making, similarity may bring counterintuitive outcomes from the decision maker's …

In this paper, we conduct a comprehensive study of Trees, Forests, and Paths within the
framework of Fuzzy and Neutrosophic Graphs. Graph theory, known for its wide-ranging …

An elongation of the single-valued neutrosophic set is an interval-valued neutrosophic set. It
has been demonstrated to deal indeterminacy in a decision-making problem. Real-world …

Graph theory, a branch of mathematics, studies the relationships between entities using
vertices and edges. Uncertain Graph Theory has emerged within this field to model the …

Real-life decision-making problem has been demonstrated to cover the indeterminacy
through single valued neutrosophic set. It is the extension of interval valued neutrosophic …

This paper explores various properties of Neutrosophic sets (NS) and proposes a novel idea
on Image Segmentation using NS. A theoretical Neutrosophic model is proposed to reduce …

Graph theory studies networks made up of nodes (vertices) and their connections (edges). A
graph class consists of graphs that share common structural properties, defined by specific …

In recent time graphical analytics of uncertainty and indeterminacy has become major
concern for data analytics researchers. In this direction, the mathematical algebra of …