Exploiting a New Interpretability Index in the Multi-Objective Evolutionary Learning of Mamdani Fuzzy Rule-Based Systems.
Michela AntonelliPietro DucangeBeatrice LazzeriniFrancesco MarcelloniPublished in: ISDA (2009)
Keyphrases
- fuzzy rule based systems
- evolutionary learning
- multi objective
- rule base
- evolutionary computation
- evolutionary algorithm
- fuzzy systems
- genetic algorithm
- genetic programming
- fuzzy logic
- fuzzy rules
- cooperative behavior
- membership functions
- optimization algorithm
- multi objective optimization
- fuzzy model
- fitness function
- computational intelligence
- rule selection
- particle swarm optimization
- fuzzy modeling
- fuzzy logic controller
- knowledge extraction
- takagi sugeno
- objective function
- fuzzy inference system
- fuzzy sets
- simulated annealing
- artificial intelligence
- neuro fuzzy systems
- soft computing
- reinforcement learning
- neural fuzzy
- fuzzy membership functions
- fuzzy inference
- fuzzy control
- cooperative
- differential evolution
- expert systems
- intelligent systems
- fuzzy controller
- pattern recognition
- rule sets
- classification rules
- knowledge base
- rough sets
- neural network
- real time