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Generalised approximate equalities based on rough fuzzy sets rough measures of fuzzy sets

机译:基于粗模糊集和粗度量的广义近似等式

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In an attempt to incorporate user knowledge in order to decide about the equality of sets, the concepts of approximate equalities using rough sets were introduced. These notions have been generalised in several ways and very recently [1] extended four types of approximate equalities using rough fuzzy sets instead of only rough sets. To be precise, a concept of leveled approximate equality was introduced and properties were studied. In this paper we extend this work with case studies to illustrate the applications of the concepts and compare them respectively. We also introduce and discuss the rough measures of basic sets, fuzzy sets and interpret four types of approximate equalities in terms of the accuracy measure as well as rough measures. The analysis had provided a clear distinguish notion in terms of the measures.
机译:为了合并用户知识以决定集合的相等性,引入了使用粗糙集合的近似相等性的概念。这些概念已经以几种方式得到了概括,并且最近[1]使用粗糙的模糊集而不是仅仅使用粗糙的集扩展了四种近似的等式。确切地说,引入了水平近似相等的概念并研究了性质。在本文中,我们通过案例研究扩展了这项工作,以说明概念的应用并分别进行比较。我们还将介绍和讨论基本集,模糊集的粗略度量,并根据精度度量和粗略度量解释四种近似等式。分析在措施方面提供了明确的区分概念。

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