A Variable Precision Covering-Based Rough Set Model Based on Functions

Classical rough set theory is a technique of granular computing for handling the uncertainty, vagueness, and granularity in information systems. Covering-based rough sets are proposed to generalize this theory for dealing with covering data. By introducing a concept of misclassification rate functio...

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Detalles Bibliográficos
Autores principales: Zhu, Yanqing, Zhu, William
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4142164/
https://www.ncbi.nlm.nih.gov/pubmed/25177715
http://dx.doi.org/10.1155/2014/210129

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4142164/
https://www.ncbi.nlm.nih.gov/pubmed/25177715
http://dx.doi.org/10.1155/2014/210129

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