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Optimal scale combination selection based on a monotonic variable precision multi-scale rough set model
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DOI：10.1016/j.ijar.2025.109569.png)
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Abstract
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• A monotonic variable precision generalized multi-scale rough set model (MVPGMRSM) is proposed. • A new local OSC definition based on the monotonic positive region in MVPGMRSM is proposed. • Two efficient OSC selection algorithms overcoming local strategy limitations are designed. • The model's robustness, adaptability, and efficiency are validated on multiple datasets.
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