Converse approximation and rule extraction from decision tables in rough set theory
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Publication:2425455
DOI10.1016/j.camwa.2007.08.031zbMath1147.68736OpenAlexW1981066450MaRDI QIDQ2425455
J. Y. Liang, Yuhua Qian, Chuangyin Dang
Publication date: 5 May 2008
Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.camwa.2007.08.031
Related Items (20)
Consistency measure, inclusion degree and fuzzy measure in decision tables ⋮ Control approach to rough set reduction ⋮ Interval ordered information systems ⋮ Set-valued ordered information systems ⋮ NEC: a nested equivalence class-based dependency calculation approach for fast feature selection using rough set theory ⋮ Characterization of rough set approximations in atanassov intuitionistic fuzzy set theory ⋮ A rough set method for the vertex cover problem in graph theory ⋮ A novel method for attribute reduction of covering decision systems ⋮ Relationships between generalized rough sets based on covering and reflexive neighborhood system ⋮ Knowledge structure, knowledge granulation and knowledge distance in a knowledge base ⋮ A measurement theory view on the granularity of partitions ⋮ Positive approximation and converse approximation in interval-valued fuzzy rough sets ⋮ MGRS: a multi-granulation rough set ⋮ Relationships among generalized rough sets in six coverings and pure reflexive neighborhood system ⋮ Fuzzy preference based rough sets ⋮ Positive approximation: an accelerator for attribute reduction in rough set theory ⋮ Approximate distribution reducts in inconsistent interval-valued ordered decision tables ⋮ Generalizations of rough sets via topology ⋮ Accuracy of approximation operators during covering evolutions ⋮ Set-based granular computing: a lattice model
Cites Work
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- Rudiments of rough sets
- Rough sets: some extensions
- Fuzzy sets as a basis for a theory of possibility
- Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic
- Maximal consistent block technique for rule acquisition in incomplete information systems.
- \(\alpha\)-RST: A generalization of rough set theory
- Knowledge reduction in random information systems via Dempster-Shafer theory of evidence
- Approaches to knowledge reductions in inconsistent systems
- THE INFORMATION ENTROPY, ROUGH ENTROPY AND KNOWLEDGE GRANULATION IN ROUGH SET THEORY
- THE ALGORITHM ON KNOWLEDGE REDUCTION IN INCOMPLETE INFORMATION SYSTEMS
- Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing
- Reducts within the variable precision rough sets model: A further investigation
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