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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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| Huvudupphovsmän: | , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Springer
2021-01-01
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| Serie: | International Journal of Computational Intelligence Systems |
| Ämnen: | |
| Länkar: | https://www.atlantis-press.com/article/125951141/view |
| Taggar: |
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