Connectivity Analysis of Bipolar Fuzzy Networks

Shu Gong, Gang Hua, Wei Gao and Wubshet Ibrahim

Mathematical Problems in Engineering, 2022, vol. 2022, 1-10

Abstract: Network connectivity is an important factor in data transmission, information sharing, and network defense, and it is a crucial indicator which determines the performance of a network. When a network node or channel contains uncertainties in both positive and negative aspects, the entire network can be modeled with bipolar fuzzy graphs. This paper analyzes the influence of each vertex on the connectivity of the entire network through the definition of the connected state on the bipolar fuzzy graph. The solid results are given, and the new concepts are applied in campus network connectivity analysis. This approach helps to analyze the hidden dangers of the bipolar network, find the weaknesses in the connection, and prevent network attacks in advance.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:6398599

DOI: 10.1155/2022/6398599

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