A Deep-Ensemble-Level-Based Interpretable Takagi-Sugeno-Kang Fuzzy Classifier for Imbalanced Data.
Guanjin WangTa ZhouKup-Sze ChoiJie LuPublished in: IEEE Trans. Cybern. (2022)
Keyphrases
- imbalanced data
- fuzzy classifier
- fuzzy rules
- neuro fuzzy
- ensemble methods
- random forest
- pattern classification
- linear regression
- class distribution
- ensemble learning
- support vector machine
- fuzzy model
- ensemble classifier
- feature selection
- classification rules
- neural network
- base classifiers
- class imbalance
- machine learning
- rule base
- fuzzy sets
- learning algorithm
- decision trees
- genetic algorithm
- expert systems
- evolutionary algorithm
- fuzzy logic