A Cosine Similarity Measure Based on the Choquet Integral for Intuitionistic Fuzzy Sets and Its Applications to Pattern Recognition

Murat OLGUN; Ezgi TUERKARSLAN; Mehmet UENVERJun YE

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A Cosine Similarity Measure Based on the Choquet Integral for Intuitionistic Fuzzy Sets and Its Applications to Pattern Recognition

机译：A Cosine Similarity Measure Based on the Choquet Integral for Intuitionistic Fuzzy Sets and Its Applications to Pattern Recognition

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摘要

There exist various types of similarity measures for intuitionistic fuzzy sets in the literature. However, in many studies the interactions among the elements are ignored in the construction of the similarity measure. This paper presents a cosine similarity measure for intuitionistic fuzzy sets by using a Choquet integral model in which the interactions between elements are considered. The proposed similarity measure is applied to some pattern recognition problems and the results are compared with some existing results to demonstrate the effectiveness of this new similarity measure.

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来源
《Informatica》 |2021年第4期|849-864|共16页
作者
Murat OLGUN; Ezgi TUERKARSLAN; Mehmet UENVERJun YE;
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作者单位

Faculty of Science, Department of Mathematics, Ankara University, 06100 Ankara, Turkey;

Faculty of Art and Science, Department of Mathematics, TED University, 06420 Ankara, Turkey;

School of Civil and Environmental Engineering, Ningbo University, 818 Fenghua Road, Jiangbei District, Ningbo City, Zhejiang Provice, PR China;

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收录信息美国《科学引文索引》(SCI);
原文格式 PDF
正文语种英语
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关键词
Choquet integral; cosine similarity measure; intuitionistic fuzzy set; pattern recognition;

A Cosine Similarity Measure Based on the Choquet Integral for Intuitionistic Fuzzy Sets and Its Applications to Pattern Recognition

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