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Connectivity Index of Generalized Uncertain Graph

Authors :
Jinchan Wang
Xiulian Gao
Xiaoshuang Zhou
Changyou Guo
Xiuling Yin
Source :
Computational intelligence and neuroscience. 2022
Publication Year :
2022

Abstract

In the application of classical graph theory, there always are various indeterministic factors. This study studies the indeterministic factors in the connected graph by employing the uncertainty theory. First, this study puts forward two concepts: generalized uncertain graph and its connectivity index. Second, it presents a new algorithm to compute the connectivity index of an uncertain graph and generalized uncertain graph and verify this algorithm with typical examples. In addition, it proposes the definition and algorithm of α -connectivity index of generalized uncertain graph and verifies the stability and efficiency of this new algorithm by employing numerical experiments.

Details

ISSN :
16875273
Volume :
2022
Database :
OpenAIRE
Journal :
Computational intelligence and neuroscience
Accession number :
edsair.doi.dedup.....340c96058332cf46633e39036e588fee