Test cost sensitive multigranulation rough set: model and minimal cost selection
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Publication:497637
DOI10.1016/j.ins.2013.06.057zbMath1320.68197OpenAlexW1986839581MaRDI QIDQ497637
Xiaoning Song, Xibei Yang, Yunsong Qi, Jing-Yu Yang
Publication date: 24 September 2015
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2013.06.057
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Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Theory and applications of granular labelled partitions in multi-scale decision tables
- Attribute reduction of data with error ranges and test costs
- Multigranulation rough sets: from partition to covering
- Hybrid approaches to attribute reduction based on indiscernibility and discernibility relation
- Relationships among generalized rough sets in six coverings and pure reflexive neighborhood system
- Rudiments of rough sets
- Rough sets: some extensions
- Rough sets and Boolean reasoning
- Attribute reduction in decision-theoretic rough set models
- Probabilistic rough set approximations
- Variable precision rough set for group decision-making: an application
- Formal reasoning with rough sets in multiple-source approximation systems
- Gaussian kernel based fuzzy rough sets: model, uncertainty measures and applications
- Reduction about approximation spaces of covering generalized rough sets
- Positive approximation: an accelerator for attribute reduction in rough set theory
- NMGRS: neighborhood-based multigranulation rough sets
- MGRS: a multi-granulation rough set
- An efficient accelerator for attribute reduction from incomplete data in rough set framework
- A hierarchical model for test-cost-sensitive decision systems
- Hierarchical structures on multigranulation spaces
- Minimum cost attribute reduction in decision-theoretic rough set models
- Information granulation and rough set approximation
- Multiple granulation rough set approach to ordered information systems
- On Characterizing Hierarchies of Granulation Structures via Distances
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