A first approach for cost-sensitive classification with linguistic genetic fuzzy systems in imbalanced data-sets
A genetic algorithm for tuning Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets
A genetic learning of the fuzzy rule-based classification system granularity for highly imbalanced data-sets
Addressing data-complexity for imbalanced data-sets: A preliminary study on the use of preprocessing for C4.5
Chi-Spark-RS: an Spark-built Evolutionary Fuzzy Rule Selection Algorithm in Imbalanced Classification for Big Data Problems
Genetic cooperative-competitive fuzzy rule based learning method using genetic programming for highly imbalanced data-sets
Improving Pairwise Learning Classification in Fuzzy Rule Based Classification Systems Using Dynamic Classifier Selection