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Cosine Similarity Measure of Complex Fuzzy Sets and Robustness of Complex Fuzzy Connectives

机译:复杂模糊集的余弦相似度测量和复杂模糊连接的鲁棒性

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Complex fuzzy set (CFS), as a generalization of fuzzy set (FS), is characterized by complex-valued membership degrees. By considering the complex-valued membership degree as a vector in the complex unit disk, we introduce the cosine similarity measures between CFSs. Then, we investigate some invariance properties of the cosine similarity measure. Finally, the cosine similarity measure is applied to measure the robustness of complex fuzzy connectives and complex fuzzy inference.
机译:复杂的模糊集(CFS),作为模糊集(FS)的概括,其特征在于复受价值的隶属度。通过将复合值的隶属度视为复杂单元盘中的向量,我们在CFSS之间介绍了余弦相似度措施。然后,我们调查余弦相似度测量的一些不变性属性。最后,应用余弦相似度测量来测量复杂模糊连接和复杂模糊推断的鲁棒性。

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