在改变信息的同时简化了毕达哥拉斯模糊覆盖表

2021 International Conference on Computer, Blockchain and Financial Development (CBFD) Pub Date : 2021-04-01 DOI:10.1109/CBFD52659.2021.00041

Lingling Mao, Dan Zhang, Yanwei Zhang

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引用次数: 0

摘要

约简问题是任何粗糙集模型的基本问题。在本文中，我们提出了毕达哥拉斯模糊覆盖表(即毕达哥拉斯模糊β覆盖近似空间(PFCAS))中的约简概念。此外，我们还添加和删除了宇宙中的一些物体来计算它们的约简。首先，介绍了PFCAS的定义及其简化方法。然后，当我们在原宇宙中添加和删除一些物体时，提出了两个新的PFCASs。最后，在添加一些对象的情况下，研究了毕达哥拉斯模糊(PF) β-覆盖的约简的几个性质。

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Reducts in Pythagorean Fuzzy Covering Table While Changing the Information

The issue of reducts is the basic issue in any rough set model. In the article, we present the notion of the reduct in a pythagorean fuzzy covering table (i.e., pythagorean fuzzy β-covering approximation space (PFCAS)). Moreover, we add and remove several objects of the universe to compute reducts of them. First, the definitions of the PFCAS and it’s reduct are presented. Then, two new PFCASs are proposed when we add and remove some objects from the original universe. Finally, several properties of reducts in pythagorean fuzzy (PF) β-coverings are studied while adding some objects.

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2021 International Conference on Computer, Blockchain and Financial Development (CBFD)

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