Hybrid data attribute reduction based on neighborhood rough set
The attribute reduction in rough set theory has considerable value in areas such as pattern classification, knowledge extraction, and data mining. Hybrid information systems usually contain discrete classification attributes and continuous numerical attributes. For such data, the neighborhood rough...
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| Hoofdauteurs: | , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
De Gruyter
2026-05-01
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| Reeks: | Journal of Intelligent Systems |
| Onderwerpen: | |
| Online toegang: | https://doi.org/10.1515/jisys-2025-0249 |
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