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Attribute reduction with pessimistic multigranulation rough sets in relation systems
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DOI：10.1016/j.ijar.2025.109515.png)
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Abstract
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• Pessimistic reduction and pessimistic lower/upper approximate distribution reductions in arbitrary relations are defined. • Discernibility matrix-based algorithms for the three types of reductions are developed. • Experimental results demonstrate the effectiveness of the proposed algorithms.
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