A Pareto-based multi-objective evolutionary approach to the identification of Mamdani fuzzy systems.
Marco CococcioniPietro DucangeBeatrice LazzeriniFrancesco MarcelloniPublished in: Soft Comput. (2007)
Keyphrases
- fuzzy systems
- multi objective evolutionary
- multi objective
- neural fuzzy
- neuro fuzzy systems
- fuzzy rules
- fuzzy inference system
- evolutionary computation
- takagi sugeno
- multi objective optimization
- evolutionary algorithm
- computational intelligence
- neural network
- rule base
- multi objective optimization problems
- multiobjective optimization
- fuzzy model
- soft computing
- nonlinear systems
- fuzzy rule based systems
- artificial neural networks
- multiple objectives
- genetic algorithm
- optimization algorithm
- fuzzy control
- fuzzy logic controller
- fuzzy inference
- fuzzy sets
- fuzzy logic
- objective function
- fuzzy controller
- pattern recognition
- data mining
- pareto optimal solutions
- multi objective evolutionary algorithms
- nsga ii
- learning rate
- cost function
- optimization problems