Ensemble Fuzzy Feature Selection Based on Relevancy, Redundancy, and Dependency Criteria.
Omar A. M. SalemFeng LiuYi-Ping Phoebe ChenXi ChenPublished in: Entropy (2020)
Keyphrases
- feature selection
- fuzzy sets
- ensemble learning
- fuzzy logic
- multi criteria
- feature ranking
- mutual information
- multi criteria decision making
- ensemble methods
- information content
- ahp method
- ensemble classification
- model selection
- classification accuracy
- fuzzy controller
- feature subset
- membership functions
- fuzzy rules
- feature selection algorithms
- text categorization
- fuzzy neural network
- fuzzy numbers
- fuzzy set theory
- ensemble feature selection
- wrapper feature selection
- multiple criteria
- fuzzy measures
- neural network
- information gain
- text classification
- support vector
- fuzzy clustering
- machine learning
- training data
- feature space
- linguistic variables
- pruning algorithm
- fuzzy inference
- dimensionality reduction
- feature set
- training set
- aggregation operators
- support vector machine
- group decision making
- dominance relation
- discriminative features
- rough sets
- ensemble pruning
- feature extraction
- minimum redundancy
- prediction accuracy