双极模糊图运算及其度的经验结果

IF 0.4 Q4 MATHEMATICS Missouri Journal of Mathematical Sciences Pub Date : 2020-11-01 DOI:10.35834/2020/3202211
Soumitra Poulik, G. Ghorai
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引用次数: 10

摘要

清晰图的理论概念在计算机科学和应用中得到了广泛的应用。它们在计算机科学的许多研究领域尤其重要,如图像分割、数据挖掘、聚类、网络路由和图像捕获。如果顶点和边的作用是不确定的,具有正负两个相反的影响,那么双极模糊图总是起着重要的作用。本文改进了双极模糊图不同类型运算的一些重要结果。首先,我们用例子解释了关于两个双极模糊图的合成度、张量积和正规积的一些重要定理。
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Empirical Results on Operations of Bipolar Fuzzy Graphs with Their Degree
. Theoretical concepts of crisp graphs are highly utilized in computer science and applications. They are especially important in many research areas in computer science like image segmentation, data mining, clustering, network routing, and image capturing. If the role of vertices and edges are uncertain, having two opposite ef-fects, positive and negative, then bipolar fuzzy graphs always play an important factor. In this paper, some important results on different types of operations of bipolar fuzzy graphs are improved. First, we explain some important theorems about the degree of composition, tensor product, and normal product of two bipolar fuzzy graphs using examples.
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来源期刊
CiteScore
0.90
自引率
0.00%
发文量
9
期刊介绍: Missouri Journal of Mathematical Sciences (MJMS) publishes well-motivated original research articles as well as expository and survey articles of exceptional quality in mathematical sciences. A section of the MJMS is also devoted to interesting mathematical problems and solutions.
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