Abstract
The concept of Single Valued Neutrosophic Graphs (SVNGs) generalizes fuzzy graphs and intuitionistic fuzzy graphs. The purpose of this research paper is to define different types of strong degrees in SVNGs and introduce novel concepts, such as the vertex membership of truth-values, vertex membership of indeterminate-values and vertex membership of false-values, which are sequence of SVNG with proof and numerical illustrations.
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CITATION STYLE
Broumi, S., Smarandache, F., Bakali, A., Mehra, S., Talea, M., & Singh, M. (2019). Strong degrees in single valued neutrosophic graphs. In Advances in Intelligent Systems and Computing (Vol. 886, pp. 221–238). Springer Verlag. https://doi.org/10.1007/978-3-030-03402-3_16
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