Class-specific information measures and attribute reducts for hierarchy and systematicness
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Publication:6064476
DOI10.1016/j.ins.2021.01.080zbMath1527.68240OpenAlexW3127427480MaRDI QIDQ6064476
Duoqian Miao, Xianyong Zhang, Hong Yao, Zhiying Lv
Publication date: 9 November 2023
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2021.01.080
information theoryrough set theorygranular computinguncertainty measurementclass-specific attribute reductsclassification-based attribute reducts
Reasoning under uncertainty in the context of artificial intelligence (68T37) Measures of information, entropy (94A17)
Related Items (12)
Feature selection based on fuzzy combination entropy considering global and local feature correlation ⋮ Feature selection based on label distribution and fuzzy mutual information ⋮ Unsupervised attribute reduction for mixed data based on fuzzy rough sets ⋮ Three-way conflict analysis based on alliance and conflict functions ⋮ Student-\(t\) kernelized fuzzy rough set model with fuzzy divergence for feature selection ⋮ Feature selection based on double-hierarchical and multiplication-optimal fusion measurement in fuzzy neighborhood rough sets ⋮ Three-hierarchical three-way decision models for conflict analysis: a qualitative improvement and a quantitative extension ⋮ Measurement, modeling, reduction of decision-theoretic multigranulation fuzzy rough sets based on three-way decisions ⋮ Attribute reduction based on fusion information entropy ⋮ Matrix representation of the conditional entropy for incremental feature selection on multi-source data ⋮ Fuzzy information-theoretic feature selection via relevance, redundancy, and complementarity criteria ⋮ Selective label enhancement for multi-label classification based on three-way decisions
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