Some isomorphic properties of m-polar fuzzy graphs with applications.

Q1 Multidisciplinary SpringerPlus Pub Date : 2016-12-20 eCollection Date: 2016-01-01 DOI:10.1186/s40064-016-3783-z
Ganesh Ghorai, Madhumangal Pal
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Abstract

The theory of graphs are very useful tool in solving the combinatorial problems in different areas of computer science and computational intelligence systems. In this paper, we present a frame work to handle m-polar fuzzy information by combining the theory of m-polar fuzzy sets with graphs. We introduce the notion of weak self complement m-polar fuzzy graphs and establish a necessary condition for m-polar fuzzy graph to be weak self complement. Some properties of self complement and weak self complement m-polar fuzzy graphs are discussed. The order, size, busy vertices and free vertices of an m-polar fuzzy graphs are also defined and proved that isomorphic m-polar fuzzy graphs have same order, size and degree. Also, we have presented some results of busy vertices in isomorphic and weak isomorphic m-polar fuzzy graphs. Finally, a relative study of complement and operations on m-polar fuzzy graphs have been made. Applications of m-polar fuzzy graph are also given at the end.

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多极模糊图的一些同构性质及其应用。
在解决计算机科学和计算智能系统不同领域的组合问题时,图理论是非常有用的工具。在本文中,我们通过将多极模糊集理论与图相结合,提出了一种处理多极模糊信息的框架。我们引入了弱自补 m 极模糊图的概念,并建立了 m 极模糊图为弱自补的必要条件。讨论了自补和弱自补 m 极模糊图的一些性质。我们还定义了 m 极模糊图的阶数、大小、忙顶点和自由顶点,并证明了同构的 m 极模糊图具有相同的阶、大小和度。此外,我们还提出了一些关于同构和弱同构 m 极模糊图中忙顶点的结果。最后,我们还对 m 极模糊图的补码和运算进行了相关研究。最后还给出了多极模糊图的应用。
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来源期刊
SpringerPlus
SpringerPlus MULTIDISCIPLINARY SCIENCES-
CiteScore
1.76
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0.00%
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