New uncertainty measurement for categorical data based on fuzzy information structures: an application in attribute reduction
From MaRDI portal
Publication:6186975
DOI10.1016/j.ins.2021.08.089OpenAlexW3196657653MaRDI QIDQ6186975
No author found.
Publication date: 10 January 2024
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2021.08.089
attribute reductionCISfuzzy information entropyfuzzy information granulationfuzzy rough entropy\(FI\)-structurefuzzy information amount
Learning and adaptive systems in artificial intelligence (68T05) Measures of information, entropy (94A17) Information theory (general) (94A15)
Cites Work
- Unnamed Item
- Unnamed Item
- A Mathematical Theory of Communication
- Entropy measures and granularity measures for set-valued information systems
- Attribute selection with fuzzy decision reducts
- Knowledge structure, knowledge granulation and knowledge distance in a knowledge base
- Positive approximation: an accelerator for attribute reduction in rough set theory
- Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
- Generalized fuzzy rough sets
- Relational interpretations of neighborhood operators and rough set approximation operators
- Information structures in a covering information system
- On attribute reduction in concept lattices: the polynomial time discernibility matrix-based method becomes the CR-method
- Dynamical updating fuzzy rough approximations for hybrid data under the variation of attribute values
- Fuzzy information granular structures: a further investigation
- Attribute reduction with fuzzy rough self-information measures
- Information granulation and rough set approximation
- ROUGH FUZZY SETS AND FUZZY ROUGH SETS*
- Information Entropy and Granulation Co–Entropy of Partitions and Coverings: A Summary
- Information entropy, rough entropy and knowledge granulation in incomplete information systems
- Rough sets
- Fuzzy rough set techniques for uncertainty processing in a relational database
- THE INFORMATION ENTROPY, ROUGH ENTROPY AND KNOWLEDGE GRANULATION IN ROUGH SET THEORY
- THE ALGORITHM ON KNOWLEDGE REDUCTION IN INCOMPLETE INFORMATION SYSTEMS
- Fuzzy sets
This page was built for publication: New uncertainty measurement for categorical data based on fuzzy information structures: an application in attribute reduction