Interval type-2 modified fuzzy c-regression model clustering algorithm in TS Fuzzy Model identification.
Tanmoy DamAlok Kanti DebPublished in: FUZZ-IEEE (2016)
Keyphrases
- regression model
- fuzzy model
- takagi sugeno kang
- fuzzy modeling
- fuzzy clustering
- takagi sugeno
- membership functions
- interval valued data
- parameter identification
- clustering algorithm
- fuzzy rules
- fuzzy sets
- fuzzy systems
- fuzzy controller
- fuzzy inference
- information granulation
- fuzzy c means
- input output
- fuzzy inference system
- information granules
- regression analysis
- fuzzy neural network
- fuzzy logic
- model selection
- nonlinear systems
- explanatory variables
- rule base
- linear regression model
- multivariate regression
- neuro fuzzy
- support vector regression
- regression methods
- linear regression models
- prediction model
- initial values
- fuzzy control
- t norm
- k means
- high dimensional
- neural network
- multiple linear regression
- least squares
- approximate reasoning
- clustering method
- linear model
- rough sets
- variable selection