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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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Detalhes bibliográficos
Publicado no:Information Processing and Management of Uncertainty in Knowledge-Based Systems
Main Authors: Sanz, José Antonio, da Cruz Asmus, Tiago, de la Osa, Borja, Bustince, Humberto
Formato: Artigo
Idioma:Inglês
Publicado em: 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7274650/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-50153-2_35
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