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ARPN Journal of Science and Technology >> Volume 7, Issue 1, January 2017

ARPN Journal of Science and Technology


A New Algorithm for Similarity Measures to Pattern Recognition

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Author Henry Chung-Jen Chao
ISSN 2225-7217
On Pages 246-248
Volume No. 4
Issue No. 4
Issue Date May 01, 2014
Publishing Date May 01, 2014
Keywords Pattern recognition problem; Similarity measures; Intuitionistic fuzzy set



Abstract

Park et al. (2007) published a paper that is related to similarity measures on intuitionistic fuzzy set which was published in Advances in Soft Computing. Park et al. used an example to reveal that Liang and Shi (2003) published in Pattern Recognition Letters sometimes cannot solve pattern recognition problems. We follow their trend to provide an example such that Park et al. (2007) and Liang and Shi (2003) both failed to decide the best pattern for the given sample and then we prepare our approach to create a new recognition algorithm that consists of two new similarity measures. By the same numerical example, we show that our proposed algorithm can solve the pattern recognition problem.


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