Enhancing the Efficiency of the Interval-Valued Fuzzy Rule-Based Classifier with Tuning and Rule Selection

Interval-Valued fuzzy rule-based classifier with TUning and Rule Selection, IVTURS, is a state-of-the-art fuzzy classifier. One of the key point of this method is the usage of interval-valued restricted equivalence functions because their parametrization allows one to tune them to each problem, whic...

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Detalles Bibliográficos
Autores principales: Sanz, José Antonio, da Cruz Asmus, Tiago, de la Osa, Borja, Bustince, Humberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7274650/
http://dx.doi.org/10.1007/978-3-030-50153-2_35

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7274650/
http://dx.doi.org/10.1007/978-3-030-50153-2_35

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