A New Similarity Measure of Picture Fuzzy Sets and Its Application to Data Clustering

Received: 08-07-2019

Accepted: 26-08-2019

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Issue: Vol. 17 No. 5 (2019)

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KỸ THUẬT VÀ CÔNG NGHỆ

How to Cite:

Thuy, L., Hai, N., Hanh, N., & Hue, D. (2024). A New Similarity Measure of Picture Fuzzy Sets and Its Application to Data Clustering. Vietnam Journal of Agricultural Sciences, 17(5), 386–396. http://testtapchi.vnua.edu.vn/index.php/vjasvn/article/view/562

A New Similarity Measure of Picture Fuzzy Sets and Its Application to Data Clustering

Le Thi Dieu Thuy (*) 1 , Nguyen Huu Hai 1 , Nguyen Van Hanh 1 , Do Thi Hue 1

  • 1 Khoa Công nghệ thông tin, Học viện Nông nghiệp Việt Nam

    • Keywords

    Picture fuzzy set, similarity measure, fuzzy clustering

    Abstract


    The Jaccard index is a statistic used for comparing the similarity and diversity of sample sets. In this paper, we proposeda new similarity measure for picture fuzzy sets based on the Jaccard index.We then comparedthe proposed similarity measure with some existing similarity measures and showedthat the new similarity measure overcomes the restrictions of the existing similarity measures. Finally, we used this new similarity measure forthe data clustering problem.

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