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New similarity measures between interval-valued fuzzy sets

机译:间隔值模糊集之间的新相似度测量

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Interval-valued fuzzy set (IVFS) is an extension of fuzzy set in which it presents a fuzzy set with an interval-valued membership. A similarity measure is a useful tool for determining the similarity degree between two objects. It is also an important measure for fuzzy concepts. In this paper, we propose a new similarity measure between IVFSs. Some properties of this similarity measure are also made. We make numerical comparisons of the proposed similarity measure with some existing measures. These comparison results show the superiority of our proposed similarity measure.
机译:间隔值模糊集(IVFS)是模糊集的扩展,其中它呈现出具有间隔值的模糊集。相似度量是用于确定两个对象之间的相似度的有用工具。它也是模糊概念的重要措施。在本文中,我们提出了IVFS之间的新相似度措施。还制作了这种相似度量的一些性质。我们用一些现有措施进行了建议的相似度措施的数值比较。这些比较结果表明我们所提出的相似度措施的优势。

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