A Study on Bipolar Single-Valued Neutrosophic Graphs With Novel Application

被引：0
|
作者：
Malik M.A. [1 ]
Rashmanlou H. [2 ]
Shoaib M. [1 ]
Borzooei R.A. [3 ]
Taheri M. [2 ]
Broumi S. [4 ]
机构：
[1] Department of Mathematics, University of the Punjab, New Campus, Lahore
[2] Department of Mathematics, University of the Mazandaran, Babolsar
[3] Department of Mathematics, Shahid Beheshti University of the Tehran
[4] Laboratory of Information Processing, Faculty of Science Ben MSik, University Hassan II, Sidi Othman, Casablanca
来源：
Neutrosophic Sets and Systems | 2020年 / 32卷
关键词：
1; algorithm; Application; maximal product; rejection of BSVNG; residue product; symmetric difference;
D O I：
10.5281/zenodo.3723630
中图分类号：
学科分类号：
摘要：
Unipolar is less fundamental than bipolar cognition based on truth, and composure is a restraint for truth-based worlds. Bipolarity is the most powerful phenomenon that survives when truth disappeared in a black hole due to Hawking radiation or particular / anti-particular emission. The purpose of this research study is to define few four operations, including residue product, rejection, maximal product and symmetric difference of bipolar single-valued neutrosophic graph (BSVNG) and to explore some of their related properties with examples. Bipolar single-valued neutrosophic graph (BSVNG) is the generalization of the single-valued neutrosophic graph (SVNG), intuitionistic fuzzy graph, bipolar intuitionistic fuzzy graph, bipolar fuzzy graph and fuzzy graph. BSVNG plays a significant role in the study of neural networks, daily energy issues, energy systems, and coding. Moreover, wewill determine related properties like the degree of a vertex in a BSVNG or total degree of a vertex in a BSVNG. Weprovide examples of the vertex degree in BSVNG and the total vertex degree in BSVNG. In order to make this useful, wedevelop an algorithm for our useful method in steps. © 2020.
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页码：221 / 268
页数：47
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