Parameterized maximum-entropy-based three-way approximate attribute reduction
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Publication:2105564
DOI10.1016/j.ijar.2022.09.007OpenAlexW4295735815WikidataQ114171964 ScholiaQ114171964MaRDI QIDQ2105564
Jie Zhou, Can Gao, Xiaodong Yue, Jinming Xing
Publication date: 8 December 2022
Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ijar.2022.09.007
monotonicityattribute reductionthree-way decisionparameterized maximum entropythree-way approximate reduct
Related Items (3)
Editorial. Uncertainty and three-way decision in data science ⋮ Bi-directional adaptive neighborhood rough sets based attribute subset selection ⋮ Three-way conflict analysis and resolution based on \(q\)-rung orthopair fuzzy information
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Cites Work
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- Decision region distribution preservation reduction in decision-theoretic rough set model
- The superiority of three-way decisions in probabilistic rough set models
- Neighborhood based decision-theoretic rough set models
- Attribute reduction in decision-theoretic rough set models
- Positive approximation: an accelerator for attribute reduction in rough set theory
- Cost-sensitive attribute reduction in decision-theoretic rough set models
- Three-way decision and granular computing
- Granular maximum decision entropy-based monotonic uncertainty measure for attribute reduction
- Cost-sensitive approximate attribute reduction with three-way decisions
- Multi-objective attribute reduction in three-way decision-theoretic rough set model
- Game theoretic approach to shadowed sets: a three-way tradeoff perspective
- Three-way decision with co-training for partially labeled data
- Ensemble learning based on approximate reducts and bootstrap sampling
- A novel multi-granularity three-way decision making approach in q-rung orthopair fuzzy information systems
- Hierarchical sequential three-way decision model
- Granular rough sets and granular shadowed sets: three-way approximations in Pawlak approximation spaces
- Symbols-meaning-value (SMV) space as a basis for a conceptual model of data science
- New measures of alliance and conflict for three-way conflict analysis
- A three-way cluster ensemble approach for large-scale data
- Three-way granular computing, rough sets, and formal concept analysis
- Quantitative three-way class-specific attribute reducts based on region preservations
- Mean-entropy-based shadowed sets: a novel three-way approximation of fuzzy sets
- Monotonic uncertainty measures for attribute reduction in probabilistic rough set model
- Analyzing uncertainties of probabilistic rough set regions with game-theoretic rough sets
- Multi-adjoint fuzzy rough sets: definition, properties and attribute selection
- Three-way attribute reducts
- Minimum cost attribute reduction in decision-theoretic rough set models
- Non-Monotonic Attribute Reduction in Decision-Theoretic Rough Sets
- Game-Theoretic Rough Sets
- Rough sets: probabilistic versus deterministic approach
- Rough sets
- A Note on Attribute Reduction in the Decision-Theoretic Rough Set Model
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