基于覆盖的等级粗糙模糊集模型

IF 0.3 Q4 MATHEMATICS, APPLIED

Journal of Applied Mathematics Statistics and Informatics Pub Date : 2019-06-30 DOI:10.22457/jmi.134av16a1

Longwu Wang, Z. Gong

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引用次数: 0

摘要

在讨论覆盖粗糙集模型及其与等价分类之间的重叠信息的基础上，利用邻域的最小描述、全n邻域、规则置信度和元素的隶属度，定义并建立了四种覆盖等级粗糙模糊集模型。它统一了前人的成果。并讨论了它们的性质和相互关系。最后给出了一个实例。

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Covering-Based Grade Rough Fuzzy Set Models

Based on the discussion of the covering rough set models and the overlapping information between the set and the equivalence cla ssed proposed in this paper, four kinds of covering grade rough fuzzy set models are defined and established by means of the minimum description of neighbor domain, whole n eighborhood, rule confidence and membership of the elements. It unifies the results of predecessors. In addition, their properties and relationships are discussed. Finally , an example is given.

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来源期刊

Journal of Applied Mathematics Statistics and Informatics MATHEMATICS, APPLIED-

自引率

0.00%

发文量

审稿时长

20 weeks