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Extending Similarity Measures of Interval Type-2 Fuzzy Sets to General Type-2 Fuzzy Sets

机译:将区间2型模糊集的相似度量推广到广义   2型模糊集

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摘要

Similarity measures provide one of the core tools that enable reasoning aboutfuzzy sets. While many types of similarity measures exist for type-1 andinterval type-2 fuzzy sets, there are very few similarity measures that enablethe comparison of general type-2 fuzzy sets. In this paper, we introduce ageneral method for extending existing interval type-2 similarity measures tosimilarity measures for general type-2 fuzzy sets. Specifically, we show howsimilarity measures for interval type-2 fuzzy sets can be employed inconjunction with the zSlices based general type-2 representation for fuzzy setsto provide measures of similarity which preserve all the common properties(i.e. reflexivity, symmetry, transitivity and overlapping) of the originalinterval type-2 similarity measure. We demonstrate examples of such extendedfuzzy measures and provide comparisons between (different types of) intervaland general type-2 fuzzy measures.
机译:相似性度量提供了能够对模糊集进行推理的核心工具之一。尽管对于类型1和间隔类型2模糊集存在许多类型的相似性度量,但是很少有能够比较一般类型2模糊集的相似性度量。在本文中,我们介绍了一种将现有的区间2类相似性度量扩展到一般2类模糊集的相似性度量的通用方法。具体而言,我们展示了如何可以将区间2型模糊集的相似性度量与基于zSlices的模糊集的通用2型表示形式结合使用,以提供相似性度量,以保留所有的通用属性(即反射性,对称性,传递性和重叠)。原始间隔2类相似性度量。我们演示了这种扩展的模糊测度的示例,并提供了(不同类型的)区间与常规2型模糊测度之间的比较。

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