Converse approximation and rule extraction from decision tables in rough set theory

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

zbMATH Keywords

decision rulesrough set theorydecision tableconverse approximationrule extracting

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)

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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