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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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Bibliografski detalji
Glavni autori: Yingyue Chen, Yumin Chen
Format: Artigo
Jezik:Inglês
Izdano: Springer 2021-01-01
Serija:International Journal of Computational Intelligence Systems
Teme:
Online pristup:https://www.atlantis-press.com/article/125951141/view
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