A practical strategy for acquiring rules based on rough sets and principal component analysis.
An ZengQi Lun ZhengDan PanHong PengPublished in: SMC (4) (2004)
Keyphrases
- rough sets
- rule extraction
- principal component analysis
- decision rules
- rough set theory
- rule induction
- continuous valued attributes
- rule generation
- decision table
- fuzzy sets
- granular computing
- rule sets
- feature reduction
- attribute set
- attribute reduction
- inductive machine learning
- rough sets theory
- association rules
- data analysis
- pattern recognition
- soft computing
- set pair analysis
- fuzzy logic
- data mining
- classification rules
- dimensionality reduction
- approximation spaces
- condition attributes
- rough fuzzy
- neural network
- independent component analysis
- tool for data mining
- real world
- rough approximations
- dominance relation
- face recognition
- information entropy
- computer vision
- topological relationships
- decision trees
- fuzzy rough sets
- machine learning
- uncertainty handling
- feature extraction
- association rule mining