Fuzzy set similarity using a distance-based kernel on fuzzy sets (2019)
- Authors:
- Autor USP: HIRATA JUNIOR, ROBERTO - IME
- Unidade: IME
- DOI: 10.15579/gcsr.vol6.ch5
- Subjects: RECONHECIMENTO DE PADRÕES; ANÁLISE DE DADOS; FUZZY (INTELIGÊNCIA ARTIFICIAL); TESTES DE HIPÓTESES
- Keywords: kernel on fuzzy sets; similarity measures on fuzzy sets; kernel methods; kernel hypothesis testing; fuzzy data analysis; fuzzy pattern recognition; fuzzy statistics and data analysis
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: Science Gate Publishing
- Publisher place: Xanthi
- Date published: 2019
- Source:
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: bronze
-
ABNT
GUEVARA, Jorge e HIRATA JÚNIOR, Roberto e CANU, Stephane. Fuzzy set similarity using a distance-based kernel on fuzzy sets. Handbook of fuzzy sets comparison : theory, algorithms and applications. Tradução . Xanthi: Science Gate Publishing, 2019. . Disponível em: https://doi.org/10.15579/gcsr.vol6.ch5. Acesso em: 29 dez. 2025. -
APA
Guevara, J., Hirata Júnior, R., & Canu, S. (2019). Fuzzy set similarity using a distance-based kernel on fuzzy sets. In Handbook of fuzzy sets comparison : theory, algorithms and applications. Xanthi: Science Gate Publishing. doi:10.15579/gcsr.vol6.ch5 -
NLM
Guevara J, Hirata Júnior R, Canu S. Fuzzy set similarity using a distance-based kernel on fuzzy sets [Internet]. In: Handbook of fuzzy sets comparison : theory, algorithms and applications. Xanthi: Science Gate Publishing; 2019. [citado 2025 dez. 29 ] Available from: https://doi.org/10.15579/gcsr.vol6.ch5 -
Vancouver
Guevara J, Hirata Júnior R, Canu S. Fuzzy set similarity using a distance-based kernel on fuzzy sets [Internet]. In: Handbook of fuzzy sets comparison : theory, algorithms and applications. Xanthi: Science Gate Publishing; 2019. [citado 2025 dez. 29 ] Available from: https://doi.org/10.15579/gcsr.vol6.ch5 - Segmentação de imagens por morfologia matemática
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Informações sobre o DOI: 10.15579/gcsr.vol6.ch5 (Fonte: oaDOI API)
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