A Mechanism to Improve the Interpretability of Linguistic Fuzzy Systems with Adaptive Defuzzification based on the use of a Multi-objective Evolutionary Algorithm.
Antonio A. MárquezFrancisco Alfredo MárquezAntonio PeregrínPublished in: Int. J. Comput. Intell. Syst. (2012)
Keyphrases
- fuzzy systems
- fuzzy model
- rule base
- neural fuzzy
- fuzzy rules
- fuzzy control
- fuzzy logic
- fuzzy inference system
- fuzzy inference
- learning capabilities
- computational intelligence
- fuzzy rule based systems
- evolutionary computation
- soft computing
- neural network
- takagi sugeno
- nonlinear systems
- fuzzy sets
- neuro fuzzy systems
- genetic algorithm
- artificial neural networks
- fuzzy entropy
- linguistic variables
- fuzzy control systems
- information granules
- membership functions
- genetic programming
- image processing
- computer vision
- artificial intelligence
- machine learning
- data mining