球面模糊和软拓扑:一些应用

A. Azzam
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引用次数: 0

摘要

球形模糊软集是一种更为准确、实用和真实的广义软集模型。因此,可以将现有的模糊软拓扑模型扩展为球形模糊软拓扑空间,从而在实际应用中表达不可靠数据。子基、分离公理、紧性和连通性都在此工作中被定义。为了考察这些概念的特征,我们还考察了它们的起源。然后演示了决策算法的应用,并通过一个数值例子说明了如何使用决策算法。
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Spherical fuzzy and soft topology: some applications
A generalized soft set model that is more accurate, useful, and realistic is the spherical fuzzy soft set. So, the fuzzy soft topological models in use can be extended to create spherical fuzzy soft topological spaces, which are valuable for expressing unreliable data in real-world applications. Subbase, separation axioms, compactness, and connectedness are all defined in this work. To examine these notions’ features, we also investigate their forefathers. The application of a decision-making algorithm is then demonstrated, and a numerical example is used to describe how it can be used.
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CiteScore
3.10
自引率
4.00%
发文量
77
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