Branch Mathematics and Statistics Faculty and Staff Publications
Document Type
Article
Publication Date
1-2018
Abstract
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.
Publisher
MDPI
Publication Title
Mathematics
Volume
6
Issue
18
First Page
1
Last Page
19
DOI
doi:10.3390/math6020018
Language (ISO)
English
Keywords
rough neutrosophic digraphs; lexicographic product; tensor product; decision-making
Recommended Citation
Smarandache, Florentin; Nabeela Ishfaq; Sidra Sayed; and Muhammad Akram.
"Notions of Rough Neutrosophic Digraphs."
Mathematics
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Included in
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