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Analysis on comparison of distances derived by one-norm and two-norm with weight functions

机译:用权函数将一模和二模导出的距离进行比较分析

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摘要

Julian, Hung and Lin recently published a paper in Pattern Recognition Letters 33 (2012) 1219-1223 discussing the similarity measures of Mitchell (2003). However, after careful analysis we have found that the theorem in their paper is incomplete. In this paper, we will first point out the incomplete theorem. Second, we will provide a patch work to prove that the distance with the weighted function derived by one-norm is less than that derived by two-norm. Third, we will show that their original problem is only a corollary of Jensen's inequality (1906). Our findings will help researchers develop more reasonable similarity measures and its application to pattern recognition under fuzzy intuitionistic set environment.
机译:朱利安(Julian),洪(Hung)和林(Lin)最近在“模式识别字母”(Pattern Recognition Letters)33(2012)1219-1223中发表了一篇文章,讨论了Mitchell(2003)的相似性度量。但是,经过仔细分析,我们发现他们论文中的定理是不完整的。在本文中,我们将首先指出不完备定理。其次,我们将提供一个补丁工作,以证明一范数导出的具有加权函数的距离小于二范数得出的距离。第三,我们将证明它们的原始问题只是詹森不等式(1906年)的推论。我们的发现将帮助研究人员开发更合理的相似性度量,并将其应用于模糊直觉集环境下的模式识别。

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