Driving style recognition using interval type-2 fuzzy inference system and multiple experts decision-making (2024)
- Authors:
- USP affiliated authors: WOLF, DENIS FERNANDO - ICMC ; GOMES, IAGO PACHECO - ICMC
- Unidade: ICMC
- DOI: 10.1007/s40815-023-01616-9
- Subjects: LÓGICA FUZZY; TOMADA DE DECISÃO; ALGORITMOS; VEÍCULOS
- Keywords: Driving style recognition; Type-2 fuzzy inference system; Interval type-2 fuzzy sets; Fuzzy multiple-experts decision-making
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Heidelberg
- Date published: 2024
- Source:
- Título: International Journal of Fuzzy Systems
- ISSN: 1562-2479
- Volume/Número/Paginação/Ano: v. 26, n. 2, p. 553-571, 2024
- Status:
- Artigo possui versão em acesso aberto em repositório (Green Open Access)
- Versão do Documento:
- Versão submetida (Pré-print)
- Acessar versão aberta:
-
ABNT
GOMES, Iago Pachêco e WOLF, Denis Fernando. Driving style recognition using interval type-2 fuzzy inference system and multiple experts decision-making. International Journal of Fuzzy Systems, v. 26, n. 2, p. 553-571, 2024Tradução . . Disponível em: https://doi.org/10.1007/s40815-023-01616-9. Acesso em: 01 abr. 2026. -
APA
Gomes, I. P., & Wolf, D. F. (2024). Driving style recognition using interval type-2 fuzzy inference system and multiple experts decision-making. International Journal of Fuzzy Systems, 26( 2), 553-571. doi:10.1007/s40815-023-01616-9 -
NLM
Gomes IP, Wolf DF. Driving style recognition using interval type-2 fuzzy inference system and multiple experts decision-making [Internet]. International Journal of Fuzzy Systems. 2024 ; 26( 2): 553-571.[citado 2026 abr. 01 ] Available from: https://doi.org/10.1007/s40815-023-01616-9 -
Vancouver
Gomes IP, Wolf DF. Driving style recognition using interval type-2 fuzzy inference system and multiple experts decision-making [Internet]. International Journal of Fuzzy Systems. 2024 ; 26( 2): 553-571.[citado 2026 abr. 01 ] Available from: https://doi.org/10.1007/s40815-023-01616-9 - A health monitoring system with hybrid bayesian network for autonomous vehicle
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