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Multi-label deep fuzzy rule-based classification system
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DOI：10.1016/j.asoc.2026.116678.png)
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Abstract
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• A multi-label WM fuzzy system models the relationship between features and label sets.
• A deep fuzzy rule-based classifier is built by stacking multi-label WM fuzzy systems.
• A random grouping down-sampling strategy reduces feature dimensions and improves efficiency.
Keywords:
Multi-label classification
Deep fuzzy system
Wang-mendel method
Stacking generalization principle
Hierarchical model
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