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Feature Subset Selection Based on Variable Precision Neighborhood Rough Sets

Rough sets have been widely used in the fields of machine learning and feature selection. However, the classical rough sets have the problems of difficultly dealing with real-value data and weakly fault tolerance. In this paper, by introducing a neighborhood rough set model, the values of decision s...

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Detalles Bibliográficos
Main Authors: Yingyue Chen, Yumin Chen
Formato: Artigo
Idioma:Inglês
Publicado: Springer 2021-01-01
Series:International Journal of Computational Intelligence Systems
Assuntos:
Acceso en liña:https://www.atlantis-press.com/article/125951141/view
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