Negative Hesitation Fuzzy Sets and Their Application to Pattern Recognition
Küçük Resim Yok
Tarih
2024
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee-Inst Electrical Electronics Engineers Inc
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The initial concept of negative hesitation fuzzy sets (NHFSs) has been introduced recently. NHFSs are applied to decision-making problems accompanied by soft set theory. In this article, a detailed clarification of NHFSs is proposed. Meanwhile, we introduced the way to construct membership, nonmembership, and negative hesitation degrees by studying the overlap area between the projections of the element and classes in a 2-D space. This unified construction has concluded the relationship between NHFSs and intuitionistic fuzzy sets. A corollary of cosine similarity satisfying the NHFSs is employed for the pattern recognition problems. Classification of both synthetic numerical examples and the EEG signals are evaluated for the effectiveness of NHFSs in this article.
Açıklama
Anahtar Kelimeler
Fuzzy Sets, Electroencephalography, Pattern Recognition, Time-Domain Analysis, Time Series Analysis, Pattern Classification, Upper Bound, Fuzzy Sets (Fss), Information Granule, Negative Hesitation, Similarity Measures, Pattern Recognition
Kaynak
Ieee Transactions on Fuzzy Systems
WoS Q Değeri
N/A
Scopus Q Değeri
Q1
Cilt
32
Sayı
4
