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Cayley Picture Fuzzy Graphs and Interconnected Networks

Waheed Ahmad Khan1,*, Khurram Faiz1, Abdelghani Taouti2

1 Department of Mathematics, University of Education Lahore, Attock campus, Pakistan
2 ETS-Maths and NS Engineering Division, HCT, University City, Sharjah, United Arab Emirates

* Corresponding Author: Waheed Ahmad Khan. Email: email

Intelligent Automation & Soft Computing 2023, 35(3), 3317-3330. https://doi.org/10.32604/iasc.2023.024484

Abstract

Theory of the Cayley graphs is directly linked with the group theory. However, if there are uncertainties on the vertices or edges or both then fuzzy graphs have an extraordinary importance. In this perspective, numbers of generalizations of fuzzy graphs have been explored in the literature. Among the others, picture fuzzy graph (PFG) has its own importance. A picture fuzzy graph (PFG) is a pair defined on a = , where = is a picture fuzzy set on and = is a picture fuzzy set over the set such that for any edge with , and In this manuscript, we introduce the notion of the Cayley picture fuzzy graphs on groups which is the generalization of the picture fuzzy graphs. Firstly, we discuss few important characteristics of the Cayley picture fuzzy graphs. We show that Cayley picture fuzzy graphs are vertex transitive and hence regular. Then, we investigate different types of Cayley graphs induced by the Cayley picture fuzzy graphs by using different types of cuts. We extensively discuss the term connectivity of the Cayley picture fuzzy graphs. Vertex connectivity and edge connectivity of the Cayley picture fuzzy graphs are also addressed. We also investigate the linkage between these two. Throughout, we provide the extensions of some characteristics of both the PFGs and Cayley fuzzy graphs in the setting of Cayley picture fuzzy graphs. Finally, we provide the model of interconnected networks based on the Cayley picture fuzzy graphs.

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Cite This Article

W. A. Khan, K. Faiz and A. Taouti, "Cayley picture fuzzy graphs and interconnected networks," Intelligent Automation & Soft Computing, vol. 35, no.3, pp. 3317–3330, 2023. https://doi.org/10.32604/iasc.2023.024484



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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