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

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OLGUN M., Türkarslan E., ÜNVER M., Ye J.

INFORMATICA, cilt.32, sa.4, ss.849-864, 2021 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 32 Sayı: 4
  • Basım Tarihi: 2021
  • Doi Numarası: 10.15388/21-infor460
  • Dergi Adı: INFORMATICA
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, INSPEC, zbMATH
  • Sayfa Sayıları: ss.849-864
  • Anahtar Kelimeler: Choquet integral, cosine similarity measure, intuitionistic fuzzy set, pattern recognition, VAGUE SETS
  • TED Üniversitesi Adresli: Evet

Özet

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.