Cost-Sensitive Learning of Fuzzy Rules for Imbalanced Classification Problems Using FURIA.
Ana M. PalaciosKrzysztof TrawinskiOscar CordónLuciano SánchezPublished in: Int. J. Uncertain. Fuzziness Knowl. Based Syst. (2014)
Keyphrases
- fuzzy rules
- cost sensitive learning
- imbalanced datasets
- rule extraction
- class imbalance
- minority class
- cost sensitive
- membership functions
- class distribution
- fuzzy sets
- fuzzy logic
- active learning
- misclassification costs
- input variables
- rule sets
- missing values
- probability estimation
- classification rules
- decision trees
- binary classification
- feature selection
- high dimensionality
- neural network
- multi class
- image processing
- decision making
- genetic algorithm