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A comment on 'On the Mitchell similarity measure and its application to pattern recognition'

机译:评论“关于Mitchell相似性度量及其在模式识别中的应用”

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We provide a careful analysis of the similarity measures of Mitchell [Mitchell, H.B., 2003. On the Dengfend-Chuntian similarity measure and its application to pattern recognition. Pattern Recognition Lett. 24,3101-3104] and Julian et al. [Julian, P., Hung, K.C., Lin, S.J., 2012. On the Mitchell similarity measure and its application to pattern recognition. Pattern Recognition Lett. 33,1219-1223] for Julian's application to pattern recognition problem. In this paper we will first point out that the similarity measure of Julian et al. (2012) does not satisfy the system of axioms for similarity measures and then provide a counter example to support our assertion. Second, we will show that foundation that the differentiability property1 proposed by Julian et al. (2012) is questionable, hindering the progress of the similarity measure. Our analysis should help researchers to realize new similarity measures under intuitionistic fuzzy sets environment.
机译:我们对Mitchell的相似性度量进行了仔细的分析[Mitchell,H.B.,2003。关于Dengfend-Chuntian相似性度量及其在模式识别中的应用。模式识别字母。 24,3101-3104]和朱利安(Julian)等人。 [Julian,P.,Hung,K.C.,Lin,S.J.,2012年。关于Mitchell相似性度量及其在模式识别中的应用。模式识别字母。 [33,1219-1223]为朱利安(Julian)在模式识别问题中的应用。在本文中,我们将首先指出朱利安(Julian)等人的相似性度量。 (2012年)不满足相似性度量的公理系统,然后提供了一个反例来支持我们的断言。其次,我们将证明朱利安(Julian)等人提出的微分性质1的基础。 (2012)是可疑的,阻碍了相似性度量的进展。我们的分析应有助于研究人员在直觉模糊集环境下实现新的相似性度量。

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