Fuzzy Aggregation for Rule Selection in Imbalanced Datasets Classification using Choquet Integral.
Safa AbdellatifSadok Ben YahiaMohamed Ali Ben HassineAmel BouzeghoubPublished in: FUZZ-IEEE (2018)
Keyphrases
- imbalanced datasets
- choquet integral
- rule selection
- aggregation operators
- fuzzy measures
- cost sensitive learning
- class imbalance
- decision trees
- fuzzy rules
- class distribution
- classification accuracy
- pattern recognition
- machine learning
- sampling methods
- fuzzy logic
- fuzzy sets
- group decision making
- cost sensitive
- rule base
- ensemble methods
- feature extraction
- fuzzy set theory
- support vector
- classification rules
- neural network
- support vector machine svm
- feature selection algorithms
- artificial intelligence
- fuzzy logic controller
- text classification
- support vector machine
- feature vectors
- fuzzy rule based systems
- genetic algorithm
- feature selection
- decision making
- training set
- preference relations
- model selection
- training samples
- artificial neural networks
- membership functions