Connectivity Analysis of Bipolar Fuzzy Networks

Shu Gong; Gang Hua; Wei GaoWubshet Ibrahim

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Connectivity Analysis of Bipolar Fuzzy Networks

机译：Connectivity Analysis of Bipolar Fuzzy Networks

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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.

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《Mathematical Problems in Engineering: Theory, Methods and Applications》 |2022年第2期|1.1-1.10|共10页
作者
Shu Gong; Gang Hua; Wei GaoWubshet Ibrahim;
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School of Information and Control Engineering China University of Mining and Technology Xuzhou 221116 ||Department of Computer Science Guangdong University Science and Technology Dongguan 523083;

School of Information and Control Engineering China University of Mining and Technology Xuzhou 221116;

School of Information Science and Technology Yunnan Normal University Kunming 650500;

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Connectivity Analysis of Bipolar Fuzzy Networks

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