Automatic labeling by means of semi-supervised fuzzy clustering as a boosting mechanism in the generation of fuzzy rules.
Priscilla de Abreu LopesHeloisa de Arruda CamargoPublished in: IRI (2012)
Keyphrases
- fuzzy clustering
- fuzzy rules
- membership functions
- fuzzy modeling
- semi supervised
- fuzzy model
- fuzzy c means
- rule base
- fuzzy sets
- fuzzy systems
- fuzzy logic
- neuro fuzzy
- fuzzy neural network
- fuzzy inference
- fuzzy clustering algorithm
- fuzzy c means algorithm
- fuzzy classifier
- input variables
- fuzzy membership functions
- fuzzy inference system
- fuzzy reasoning
- active learning
- fuzzy clustering algorithms
- possibilistic clustering
- fuzzy controller
- unsupervised learning
- rule sets
- fuzzy if then rules
- cluster analysis
- fuzzy clustering method
- fuzzy c means clustering algorithm
- image segmentation
- fuzzy control
- supervised learning
- evolutionary algorithm
- clustering algorithm
- fuzzy rule based systems
- learning algorithm
- real time
- data mining
- feature extraction
- pairwise
- approximate reasoning
- nonlinear systems
- computational intelligence