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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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מידע ביבליוגרפי
Main Authors: Yingyue Chen, Yumin Chen
פורמט: Artigo
שפה:Inglês
יצא לאור: Springer 2021-01-01
סדרה:International Journal of Computational Intelligence Systems
נושאים:
גישה מקוונת:https://www.atlantis-press.com/article/125951141/view
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