A rough set approach for the discovery of classification rules in interval-valued information systems.
Yee LeungManfred M. FischerWei-Zhi WuJu-Sheng MiPublished in: Int. J. Approx. Reason. (2008)
Keyphrases
- classification rules
- interval valued
- fuzzy sets
- real valued
- rule discovery
- genetic programming
- partially ordered
- group decision making
- fuzzy rules
- representation scheme
- decision trees
- association rules
- classification algorithm
- rule sets
- aggregation operators
- nearest neighbor
- rough sets
- human experts
- data mining
- membership functions
- evolutionary algorithm
- rule induction
- pattern discovery
- intuitionistic fuzzy
- feature space
- high dimensional
- decision makers
- multiple criteria
- decision table
- knowledge discovery
- computational intelligence
- rough set theory
- multi objective
- data mining techniques
- image representation