Pages that link to "Item:Q277415"
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The following pages link to A fuzzy rough set approach for incremental feature selection on hybrid information systems (Q277415):
Displaying 40 items.
- An incremental attribute reduction approach based on knowledge granularity under the attribute generalization (Q313000) (← links)
- Information structures and uncertainty measures in a hybrid information system with images (Q780200) (← links)
- Incremental mechanism of attribute reduction based on discernible relations for dynamically increasing attribute (Q780251) (← links)
- Recent fuzzy generalisations of rough sets theory: a systematic review and methodological critique of the literature (Q1687398) (← links)
- Pseudo-label neighborhood rough set: measures and attribute reductions (Q1726344) (← links)
- A novel incremental attribute reduction approach for dynamic incomplete decision systems (Q1726411) (← links)
- Efficient parallel Boolean matrix based algorithms for computing composite rough set approximations (Q1750532) (← links)
- Feature selection with partition differentiation entropy for large-scale data sets (Q1750551) (← links)
- Fuzzy rough set based incremental attribute reduction from dynamic data with sample arriving (Q2013854) (← links)
- Incremental approaches for heterogeneous feature selection in dynamic ordered data (Q2053841) (← links)
- Incremental fuzzy rough sets based feature subset selection using fuzzy min-max neural network preprocessing (Q2060786) (← links)
- Attribute reduction based on D-S evidence theory in a hybrid information system (Q2169197) (← links)
- An incremental attribute reduction method for dynamic data mining (Q2200538) (← links)
- A graph approach for fuzzy-rough feature selection (Q2219196) (← links)
- Min-max attribute-object bireducts: on unifying models of reducts in rough set theory (Q2224809) (← links)
- Fuzzy rough approximations for set-valued data (Q2279695) (← links)
- Dynamical updating fuzzy rough approximations for hybrid data under the variation of attribute values (Q2291781) (← links)
- Incremental updating of rough approximations in interval-valued information systems under attribute generalization (Q2293061) (← links)
- Discernibility matrix based incremental feature selection on fused decision tables (Q2302950) (← links)
- Uncertainty measurement for a set-valued information system: Gaussian kernel method (Q2311002) (← links)
- A unified incremental reduction with the variations of the object for decision tables (Q2318552) (← links)
- Kernel neighborhood rough sets model and its application (Q2325078) (← links)
- Feature selection in mixed data: a method using a novel fuzzy rough set-based information entropy (Q2416976) (← links)
- Attribute reduction with fuzzy rough self-information measures (Q2666770) (← links)
- Incremental feature selection based on fuzzy rough sets (Q2666792) (← links)
- Attribute Reduction of Incomplete Information Systems: An Intuitionistic Fuzzy Rough Set Approach (Q3297314) (← links)
- Incremental Updating Rough Approximations in Interval-valued Information Systems (Q3300366) (← links)
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- Rule Induction Based on Indiscernible Classes from Rough Sets in Information Tables with Continuous Values (Q6104462) (← links)
- Gaussian kernel based gene selection in a single cell gene decision space (Q6122298) (← links)
- Dynamic interaction feature selection based on fuzzy rough set (Q6139519) (← links)
- A unified incremental updating framework of attribute reduction for two-dimensionally time-evolving data (Q6150452) (← links)
- Matrix representation of the conditional entropy for incremental feature selection on multi-source data (Q6188164) (← links)
- General three-way decision models on incomplete information tables (Q6191642) (← links)
- Incremental feature selection approach to interval-valued fuzzy decision information systems based on \(\lambda\)-fuzzy similarity self-information (Q6494657) (← links)
- Attribute reduction for hybrid data based on statistical distribution of data and fuzzy evidence theory (Q6495118) (← links)
- New uncertainty measurement for hybrid data and its application in attribute reduction (Q6497356) (← links)
- A novel cooperative swarm intelligence feature selection method for hybrid data based on fuzzy \(\beta\) covering and fuzzy self-information (Q6556458) (← links)
- Incremental feature selection with fuzzy rough sets for dynamic data sets (Q6588963) (← links)
