Reduction of Fuzzy Rule Bases Driven by the Coverage of Training Data.
Michal BurdaMartin StepnickaPublished in: IFSA-EUSFLAT (2015)
Keyphrases
- training data
- fuzzy rule bases
- rule base
- learning algorithm
- knowledge base
- test data
- training set
- decision trees
- data sets
- data driven
- supervised learning
- training dataset
- computational intelligence
- training process
- test set
- reduction method
- classification models
- training instances
- database
- prior knowledge
- pattern recognition
- training samples
- rough sets
- generalization error
- data reduction
- learned from training data
- noisy data
- semi supervised learning
- labeled data
- sensor networks
- small number
- support vector machine
- knowledge discovery
- classification accuracy
- real time