A type-2 fuzzy c-regression clustering algorithm for Takagi-Sugeno system identification and its application in the steel industry.
M. H. Fazel ZarandiR. GamasaeeI. Burhan TürksenPublished in: Inf. Sci. (2012)
Keyphrases
- takagi sugeno
- fuzzy model
- steel industry
- fuzzy systems
- neuro fuzzy
- fuzzy control
- input output
- clustering algorithm
- membership functions
- fuzzy modeling
- fuzzy inference system
- controller design
- fuzzy clustering
- fuzzy controller
- fuzzy rules
- nonlinear systems
- transfer function
- fuzzy sets
- fuzzy rule based systems
- regression model
- recurrent neural networks
- control system
- neural network
- listed companies
- rule base
- evolutionary computation
- fuzzy logic
- fuzzy inference
- clustering method
- fuzzy neural network
- machine learning
- classification rules
- t norm
- data mining
- support vector