@Article{iasc.2023.024484,
AUTHOR = {Waheed Ahmad Khan, Khurram Faiz, Abdelghani Taouti},
TITLE = {Cayley Picture Fuzzy Graphs and Interconnected Networks},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {35},
YEAR = {2023},
NUMBER = {3},
PAGES = {3317--3330},
URL = {http://www.techscience.com/iasc/v35n3/49351},
ISSN = {2326-005X},
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.},
DOI = {10.32604/iasc.2023.024484}
}