Knowledge extraction from a class of support vector machines using the fuzzy all-permutations rule-base.
Shahaf DuenyasMichael MargaliotPublished in: CCMB (2011)
Keyphrases
- knowledge extraction
- rule base
- fuzzy rule based systems
- fuzzy rules
- fuzzy rule based classification
- linguistic rules
- fuzzy logic
- support vector
- membership functions
- learning machines
- fuzzy systems
- fuzzy if then rules
- large margin classifiers
- fuzzy sets
- rule based systems
- rule generation
- fuzzy logic controller
- fuzzy controller
- textual documents
- fuzzy rule bases
- fuzzy modeling
- knowledge discovery
- rule selection
- fuzzy classifier
- fuzzy model
- fuzzy inference
- data mining
- neuro fuzzy
- inference engine
- rule sets
- feature selection
- decision making
- soft computing
- classification rules
- rule extraction
- learning algorithm
- computational intelligence
- knowledge base
- error rate
- artificial intelligence
- training data
- rough sets
- class labels
- database