Hybrid approaches to attribute reduction based on indiscernibility and discernibility relation

DOI10.1016/j.ijar.2010.07.011zbMath1214.68297OpenAlexW2078376232MaRDI QIDQ541820

Yong-Cai Geng, Sumit K. Garg

Publication date: 8 June 2011

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2010.07.011

zbMATH Keywords

discernibility matrixinformation entropyattribute reductionpositive regionboundary regionhybrid attribute measure

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (20)

Positive macroscopic approximation for fast attribute reduction ⋮ Attribute reduction for sequential three-way decisions under dynamic granulation ⋮ Improved general attribute reduction algorithms ⋮ Semi-supervised feature selection for partially labeled mixed-type data based on multi-criteria measure approach ⋮ Fast attribute reduction via inconsistent equivalence classes for large-scale data ⋮ Entropy and co-entropy of a covering approximation space ⋮ Rough sets based matrix approaches with dynamic attribute variation in set-valued information systems ⋮ Information-theoretic measures associated with rough set approximations ⋮ Covering-based multi-granulation fuzzy rough sets ⋮ Attribute Reduction of Incomplete Information Systems: An Intuitionistic Fuzzy Rough Set Approach ⋮ Test cost sensitive multigranulation rough set: model and minimal cost selection ⋮ Composite rough sets for dynamic data mining ⋮ Parallel attribute reduction algorithms using MapReduce ⋮ Quick general reduction algorithms for inconsistent decision tables ⋮ Efficient attribute reduction from the viewpoint of discernibility ⋮ Bidirectional heuristic attribute reduction based on conflict region ⋮ Quick attribute reduct algorithm for neighborhood rough set model ⋮ DYNAMIC REDUCTS GENERATION USING CASCADING HASHES ⋮ A fuzzy similarity-based rough set approach for attribute selection in set-valued information systems ⋮ Updating attribute reduction in incomplete decision systems with the variation of attribute set

Uses Software

• UCI-ml

Cites Work

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