Connectivity Status of Intuitionistic Fuzzy Graphs and Its Applications

IF 0.6 4区 计算机科学 Q4 COMPUTER SCIENCE, THEORY & METHODS
Zengtai Gong, Lele He
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引用次数: 0

Abstract

The connectivity is one of the crucial parameters of network used to transport network flow, routing problems and bandwidth allocation problems. The increased connectivity makes a network more stable. In this paper, a new parameter called connectivity status of a vertex is introduced in the intuitionistic fuzzy graph. The related definitions and propositions of connectivity status of a vertex are proposed and investigated in an intuitionistic fuzzy graph. Specifically, connectivity status and status sequence are defined and analysed with various examples. After deleting a vertex, we classify the vertices of an intuitionistic fuzzy graph as connectivity status enhancing vertices, connectivity status neutral vertices and connectivity status reducing vertices because of the change of connectivity status. Finally, we establish two algorithms for these concepts and give an application to illustrate feasibility of algorithms.
直觉模糊图的连通性状态及其应用
连通性是网络的关键参数之一,用于传输网络流、路由问题和带宽分配问题。增加的连接性使网络更加稳定。本文在直觉模糊图中引入了一个新的参数——顶点连通状态。提出并研究了直观模糊图中顶点连通状态的相关定义和命题。具体地,定义了连接状态和状态序列,并通过实例进行了分析。在删除一个顶点后,由于连接状态的变化,我们将直觉模糊图的顶点分为连接状态增强顶点、连接状态中立顶点和连接状态减少顶点。最后,我们针对这些概念建立了两种算法,并给出了一个应用来说明算法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Foundations of Computer Science
International Journal of Foundations of Computer Science 工程技术-计算机:理论方法
CiteScore
1.60
自引率
12.50%
发文量
63
审稿时长
3 months
期刊介绍: The International Journal of Foundations of Computer Science is a bimonthly journal that publishes articles which contribute new theoretical results in all areas of the foundations of computer science. The theoretical and mathematical aspects covered include: - Algebraic theory of computing and formal systems - Algorithm and system implementation issues - Approximation, probabilistic, and randomized algorithms - Automata and formal languages - Automated deduction - Combinatorics and graph theory - Complexity theory - Computational biology and bioinformatics - Cryptography - Database theory - Data structures - Design and analysis of algorithms - DNA computing - Foundations of computer security - Foundations of high-performance computing
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