A new effect-based roughness measure for attribute reduction in information system
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Publication:2291780
DOI10.1016/J.INS.2016.08.056zbMath1429.68294OpenAlexW2515428626MaRDI QIDQ2291780
Caimei Guo, Jinning Yang, Chen-Xia Jin, Fa-Chao Li
Publication date: 31 January 2020
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2016.08.056
Learning and adaptive systems in artificial intelligence (68T05) Reasoning under uncertainty in the context of artificial intelligence (68T37) Computational aspects of data analysis and big data (68T09)
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Cites Work
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- A novel method for attribute reduction of covering decision systems
- Hybrid attribute reduction based on a novel fuzzy-rough model and information granulation
- A new measure of uncertainty based on knowledge granulation for rough sets
- Fuzzy decision trees
- Variable precision rough set model
- Extensions and intensions in the rough set theory
- Double-quantitative decision-theoretic rough set
- Relationships between generalized rough sets based on covering and reflexive neighborhood system
- On quick attribute reduction in decision-theoretic rough set models
- Rough sets and intelligent data analysis
- Feature selection with test cost constraint
- Duality, conjugacy and adjointness of approximation operators in covering-based rough sets
- Rough approximations on a complete completely distributive lattice with applications to generalized rough sets
- Related family: a new method for attribute reduction of covering information systems
- Information granules: Towards foundations of granular computing
- ROUGH FUZZY SETS AND FUZZY ROUGH SETS*
- Numerical Attribute Reduction Based on Neighborhood Granulation and Rough Approximation
- Rough sets
- PROBABILISTIC ROUGH SETS CHARACTERIZED BY FUZZY SETS
- Fuzzy sets
- A new approach to fuzzy rule generation: Fuzzy extension matrix
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