Multi-objective iterative genetic approach for learning fuzzy classification rules with semantic-based selection of the best rule.
Edward Hinojosa CárdenasHeloisa A. CamargoPublished in: IFSA/NAFIPS (2013)
Keyphrases
- classification rules
- multi objective
- fuzzy rules
- learning algorithm
- learning process
- reinforcement learning
- rule sets
- human experts
- genetic programming
- action rules
- rule discovery
- prior knowledge
- ant miner
- rule induction
- classification algorithm
- knowledge acquisition
- fuzzy sets
- supervised learning
- evolutionary algorithm
- decision trees
- membership functions
- association rules
- expert systems
- subgroup discovery
- artificial intelligence
- decision tree algorithm
- genetic algorithm
- real world