Improving the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets and genetic amplitude tuning
DRCW-OVO: Distance-based relative competence weighting combination for One-vs-One strategy in multi-class problems
A review on ensembles for the class imbalance problem: Bagging-, boosting-, and hybrid-based approaches
Multi-class Imbalanced Data-Sets with Linguistic Fuzzy Rule Based Classification Systems Based on Pairwise Learning
Improving the OVO performance in fuzzy rule-based classification systems by the genetic learning of the granularity level
On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets