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Similarity measures between vague sets based on the transformations of a vague value

机译:基于模糊值转换的模糊集之间的相似性度量

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Three-dimensional representation of a vague value is the direct embodiment of the thinking of vague sets. The transformation of a vague value is a method used to discover the new knowledge from the unknown information. Two kinds of similarity measures between vague sets (elements) based on the transformation were presented. Finally, these formulas are applied in an example of pattern recognition.
机译:模糊值的三维表示是模糊集思想的直接体现。模糊值的转换是一种用于从未知信息中发现新知识的方法。提出了基于变换的模糊集(元素)之间的两种相似性度量。最后,将这些公式应用到模式识别的示例中。

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