Double groups of gates based Takagi-Sugeno-Kang (DG-TSK) fuzzy system for simultaneous feature selection and rule extraction.
Guangdong XueJian WangBingjie ZhangBin YuanCaili DaiPublished in: Fuzzy Sets Syst. (2023)
Keyphrases
- rule extraction
- feature selection
- fuzzy rules
- takagi sugeno kang
- neuro fuzzy
- rough sets
- neural network
- fuzzy model
- black box
- rough set theory
- text categorization
- membership functions
- feature extraction
- classification accuracy
- naive bayes
- machine learning
- support vector
- fuzzy neural network
- fuzzy inference
- fuzzy modeling
- feature space
- classification rules
- fuzzy systems
- fuzzy logic
- text classification
- hybrid learning
- feature set
- knn
- nearest neighbor
- rule base
- back propagation
- model selection
- fuzzy sets
- learning algorithm
- fuzzy clustering
- data analysis
- data mining
- real world