A Compact Evolutionary Interval-Valued Fuzzy Rule-Based Classification System for the Modeling and Prediction of Real-World Financial Applications With Imbalanced Data.
José Antonio SanzDario BernardoFrancisco HerreraHumberto BustinceHani HagrasPublished in: IEEE Trans. Fuzzy Syst. (2015)
Keyphrases
- imbalanced data
- interval valued
- fuzzy sets
- real valued
- prediction accuracy
- group decision making
- partially ordered
- class distribution
- genetic algorithm
- linear regression
- ensemble methods
- feature selection
- training data
- ensemble classifier
- pattern recognition
- pattern classification
- support vector machine
- random forest
- decision boundary
- image classification
- multiscale
- computational intelligence
- sampling methods
- active learning