A prototype genetic algorithm-enhanced rough set-based rule induction system

Computers in Industry

Volumn 46, Issue 1, 2001, Pages 95-106

  Khoo, Li Pheng ^a   Zhai, Lian Yin ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Genetic algorithms; Rough sets; Rule induction

Indexed keywords

ARTIFICIAL INTELLIGENCE; GENETIC ALGORITHMS; LEARNING SYSTEMS; ROUGH SET THEORY;

INDUCTIVE LEARNING;

DECISION SUPPORT SYSTEMS;

EID: 0035425185     PISSN: 01663615     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0166-3615(01)00117-8     Document Type: Article

References (32)

1. Comparison of rough-set and statistical methods in inductive learning
2. Rough sets
3. Rough sets and fuzzy sets
4. Rough sets
5. Rough classification in incomplete information systems
6. Why rough sets
7. Rough sets and knowledge discovery: An overview
8. Rough classification
9. A review of rough sets models, Rough Sets and Data Mining - Analysis for Imprecise Data
10. Rough classification of HSV patients
11. Rough sets in computer implementation of rule-based control of industrial process
12. Inductive learning in civil engineering: A rough sets approach
13. Rough fuzzy sets and fuzzy rough sets
14. Fuzzy reasoning and rough sets
15. Putting rough sets and fuzzy sets together
16. Combining rough sets learning- and neural learning-method to deal with uncertain and imprecise information
17. A graph theoretic approach with fuzzy critique to manufacturing diagnosis
18. A new algorithm for inductive learning
19. An efficient algorithm for automatic knowledge acquisition
20. Classification and rule induction based on rough sets
21. LERS - A system for learning from examples based on rough sets
22. Using genetic algorithms for concept learning
23. A rough-set-based approach for classification and rule induction