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Multi-criteria group decision making with Pythagorean fuzzy soft topology

机译:用Pythagorean模糊软拓扑制作多标准组决策

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摘要

Pythagorean fuzzy set (PFS) introduced by Yager (2013) is the extension of intuitionistic fuzzy set (IFS) introduced by Atanassov (1983). PFS is also known as IFS of type-2. Pythagorean fuzzy soft set (PFSS), introduced by Peng et al. (2015) and later studied by Guleria and Bajaj (2019) and Naeem et al. (2019), are very helpful in representing vague information that occurs in real world circumstances. In this article, we introduce the notion of Pythagorean fuzzy soft topology (PFS-topology) defined on Pythagorean fuzzy soft set (PFSS). We define PFS-basis, PFS-subspace, PFS-interior, PFS-closure and boundary of PFSS. We introduce Pythagorean fuzzy soft separation axioms, Pythagorean fuzzy soft regular and normal spaces. Furthermore, we present an application of PFSSs to multiple criteria group decision making (MCGDM) using choice value method in the real world problems which yields the optimum results for investment in the stock exchange. We also render an application of PFS-topology in medical diagnosis using TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution). The applications are accompanied by Algorithms, flow charts and statistical diagrams.
机译:Yager(2013)提出的勾股模糊集(Pythagorean fuzzy set,PFS)是Atanassov(1983)提出的直觉模糊集(IFS)的扩展。PFS也称为2型IFS。Peng等人(2015年)引入的勾股模糊软集(Pythagorean fuzzy soft set,PFSS),后来Guleria和Bajaj(2019年)以及Naeem等人(2019年)对其进行了研究,对于表示现实世界中出现的模糊信息非常有帮助。在本文中,我们引入了勾股模糊软拓扑(PFS拓扑)的概念,它定义在勾股模糊软集(PFSS)上。定义了PFS基、PFS子空间、PFS内部、PFS闭包和PFS的边界。介绍了勾股模糊软分离公理、勾股模糊软正则空间和正规空间。此外,我们将PFSSs应用于现实问题中使用选择值方法的多准则群决策(MCGDM),从而产生证券交易所投资的最佳结果。我们还利用TOPSIS(通过与理想解相似的顺序偏好技术)给出了PFS拓扑在医学诊断中的应用。这些应用伴随着算法、流程图和统计图。

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