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A new algorithm to find fuzzy Hamilton cycle in a fuzzy network using adjacency matrix and minimum vertex degree

机译:利用邻接矩阵和最小顶点度在模糊网络中寻找模糊汉密尔顿环的新算法

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摘要

A Hamiltonian cycle in a graph is a cycle that visits each node/vertex exactly once. A graph containing a Hamiltonian cycle is called a Hamiltonian graph. There have been several researches to find the number of Hamiltonian cycles of a Hamilton graph. As the number of vertices and edges grow, it becomes very difficult to keep track of all the different ways through which the vertices are connected. Hence, analysis of large graphs can be efficiently done with the assistance of a computer system that interprets graphs as matrices. And, of course, a good and well written algorithm will expedite the analysis even faster. The most convenient way to quickly test whether there is an edge between two vertices is to represent graphs using adjacent matrices. In this paper, a new algorithm is proposed to find fuzzy Hamiltonian cycle using adjacency matrix and the degree of the vertices of a fuzzy graph. A fuzzy graph structure is also modeled to illustrate the proposed algorithms with the selected air network of Indigo airlines.
机译:图中的哈密顿循环是一个仅访问每个节点/顶点一次的循环。包含哈密顿循环的图称为哈密顿图。已经有一些研究来找到哈密顿图的哈密顿循环数。随着顶点和边缘数量的增加,跟踪顶点的所有不同连接方式变得非常困难。因此,借助于将图形解释为矩阵的计算机系统可以有效地完成大型图形的分析。而且,当然,一个好的,写得很好的算法将更快地加快分析速度。快速测试两个顶点之间是否存在边的最便捷方法是使用相邻矩阵表示图。本文提出了一种新的算法,该算法利用邻接矩阵和模糊图的顶点度来找到模糊哈密顿环。还对模糊图结构进行了建模,以说明所选择的Indigo航空公司空中网络的算法。

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