Feature selection based on fuzzy combination entropy considering global and local feature correlation

DOI10.1016/j.ins.2023.119753MaRDI QIDQ6059612

Jianhua Dai, Chucai Zhang, Qi Liu, Xiongtao Zou

Publication date: 2 November 2023

Published in: Information Sciences (Search for Journal in Brave)

zbMATH Keywords

mutual informationfeature selectionfuzzy rough setscombination entropy

Mathematics Subject Classification ID

Computer science (68-XX) Information and communication theory, circuits (94-XX)

Cites Work

• Unnamed Item
• Unnamed Item
• Gaussian kernel based fuzzy rough sets: model, uncertainty measures and applications
• Cost-sensitive three-way class-specific attribute reduction
• Rough sets and intelligent data analysis
• Random sampling accelerator for attribute reduction
• Fuzzy rough set model for set-valued data
• Markov blanket-embedded genetic algorithm for gene selection
• ROUGH FUZZY SETS AND FUZZY ROUGH SETS*
• Multiple Comparisons Among Means
• COMBINATION ENTROPY AND COMBINATION GRANULATION IN ROUGH SET THEORY
• Approximations of the critical region of the fbietkan statistic
• Rough sets
• ROUGH SET THEORY AND ITS APPLICATIONS TO DATA ANALYSIS
• Combination Entropy and Combination Granulation in Incomplete Information System
• Class-specific information measures and attribute reducts for hierarchy and systematicness

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