A GA-based Fuzzy Mining Approach to Achieve a Trade-off Between Number of Rules and Suitability of Membership Functions.
Tzung-Pei HongChun-Hao ChenYu-Lung WuYeong-Chyi LeePublished in: Soft Comput. (2006)
Keyphrases
- membership functions
- fuzzy association rules
- fuzzy sets
- trade off
- fuzzy rules
- fuzzy logic
- rule sets
- fuzzy inference
- fuzzy controller
- fuzzy model
- fuzzy membership functions
- fuzzy rule based systems
- fuzzy inference system
- rule mining
- takagi sugeno
- fuzzy clustering
- fuzzy partition
- genetic optimization
- number of input variables
- data mining
- fuzzy neural network
- input variables
- fuzzy modeling
- neural network
- rule base
- pattern recognition
- fuzzy if then rules
- fuzzy control
- scaling factors
- membership degrees
- rough sets
- information granulation
- fuzzy partitions
- subtractive clustering
- membership degree
- knowledge discovery
- classification rules
- information granules
- fuzzy reasoning