Graph theory has numerous applications in various disciplines, including computer networks, neural networks, expert systems, cluster analysis, and image capturing. Rough neutrosophic set (NS) theory is a hybrid tool for handling uncertain information that exists in real life. In this research paper, we apply the concept of rough NS theory to graphs and present a new kind of graph structure, rough neutrosophic digraphs. We present certain operations, including lexicographic products, strong products, rejection and tensor products on rough neutrosophic digraphs. We investigate some of their properties. We also present an application of a rough neutrosophic digraph in decision-making.
rough neutrosophic digraphs; lexicographic product; tensor product; decision-making
Smarandache, Florentin; Nabeela Ishfaq; Sidra Sayed; and Muhammad Akram.
"Notions of Rough Neutrosophic Digraphs."
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.