Compact Belief Rule Base Learning for Classification with Evidential Clustering †

The belief rule-based classification system (BRBCS) is a promising technique for addressing different types of uncertainty in complex classification problems, by introducing the belief function theory into the classical fuzzy rule-based classification system. However, in the BRBCS, high numbers of i...

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Detalles Bibliográficos
Autores principales: Jiao, Lianmeng, Geng, Xiaojiao, Pan, Quan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514932/
https://www.ncbi.nlm.nih.gov/pubmed/33267157
http://dx.doi.org/10.3390/e21050443

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514932/
https://www.ncbi.nlm.nih.gov/pubmed/33267157
http://dx.doi.org/10.3390/e21050443

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