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Similarity measures on intuitionistic fuzzy sets

机译:直觉模糊集的相似度量

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摘要

Intuitionistic fuzzy sets (IFSs), proposed by Atanassov, have gained attention from researchers for their applications in various fields. Then similarity measures between IFSs were developed. In this paper, firstly, some existing measures of similarity are reviewed. Then some examples are applied to show that some existing similarity measures are not always effective in some cases. At the same time, several new similarity measures are proposed and the relationships between some similarity measures are proved. Finally a comparison is made to show the proposed similarity measures are more reasonable than some existing similarity measures in general cases. Therefore, the proposed similarity measures can provide a useful way for measuring IFSs more effectively.
机译:由Atanassov提出的直觉模糊集(IFS)受到了研究人员在各个领域中的应用的关注。然后,制定了IFS之间的相似性度量。本文首先回顾了一些现有的相似性度量。然后,通过一些例子说明一些现有的相似性度量方法在某些情况下并不总是有效的。同时,提出了几种新的相似性度量,并证明了一些相似性度量之间的关系。最后进行比较,以表明所提出的相似性度量在一般情况下比某些现有相似性度量更合理。因此,提出的相似性度量可以为更有效地度量IFS提供有用的方法。

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