An investigation into the application of neural networks, fuzzy logic, genetic algorithms, and rough sets to automated knowledge acquisition for classification problems.
Ilona JagielskaChris MatthewsTim WhitfortPublished in: Neurocomputing (1999)
Keyphrases
- rough sets
- fuzzy logic
- automated knowledge acquisition
- expert systems
- genetic algorithm
- knowledge acquisition
- rough set theory
- fuzzy sets
- soft computing
- neural network
- evolutionary computation
- decision rules
- computational intelligence
- fuzzy set theory
- decision making
- information entropy
- attribute reduction
- fuzzy reasoning
- control system
- membership functions
- rough sets theory
- rule induction
- rule base
- decision table
- tool for data mining
- inductive machine learning
- knowledge representation
- artificial intelligence
- artificial neural networks
- approximate reasoning
- dominance relation
- rough fuzzy
- granular computing
- evolutionary algorithm
- pattern recognition
- fuzzy rough sets
- rough set model
- fuzzy inference system
- multi criteria
- intelligent systems
- knowledge base
- machine learning