Fuzzy discretization of feature space for a rough set classifier.
Amitava RoySankar K. PalPublished in: Pattern Recognit. Lett. (2003)
Keyphrases
- rough sets
- feature space
- fuzzy sets
- continuous valued attributes
- rough set theory
- fuzzy rough sets
- dominance relation
- knowledge reduction
- membership functions
- fuzzy logic
- set pair analysis
- rule extraction
- training samples
- decision rules
- feature selection
- feature reduction
- training set
- feature set
- decision trees
- classification accuracy
- high dimensionality
- feature vectors
- support vector machine
- granular computing
- feature extraction
- rule induction
- rough sets theory
- tool for data mining
- information entropy
- fuzzy measures
- data mining
- attribute reduction
- fuzzy rules
- fuzzy numbers
- rough set model
- naive bayes classifier
- upper approximation
- data points
- approximation spaces
- concept lattice
- pattern recognition
- feature subset
- continuous attributes
- data analysis
- set valued
- rough approximations
- training data
- approximation operators
- gdt rs
- data preprocessing
- equivalence relation
- support vector
- genetic algorithm