Improving Michigan-style fuzzy-rule base classification generation using a Choquet-like Copula-based aggregation function.
Edward Hinojosa CárdenasEdgar Sarmiento-CalisayaHeloisa A. CamargoJosé Antonio SanzPublished in: WILF (2021)
Keyphrases
- rule base
- fuzzy rules
- rule generation
- linguistic rules
- membership functions
- fuzzy logic
- fuzzy systems
- fuzzy classifier
- fuzzy rule based classification
- rule based systems
- rule sets
- fuzzy sets
- fuzzy if then rules
- fuzzy controller
- fuzzy logic controller
- inference engine
- fuzzy rule based systems
- rule extraction
- fuzzy inference
- fuzzy rule bases
- fuzzy integral
- fuzzy classification
- pattern recognition
- fuzzy model
- classification rules
- feature selection
- classification accuracy
- machine learning
- knowledge base
- fuzzy control
- rule selection
- support vector machine
- decision trees
- classification algorithm
- feature space
- feature set
- text classification
- decision rules
- fuzzy modeling
- feature extraction
- aggregation operators
- fuzzy inference system
- takagi sugeno
- class labels
- fuzzy numbers
- artificial intelligence
- image processing
- preprocessing
- high dimensional