EEG signal classification for BCI applications by wavelets and interval type-2 fuzzy logic systems.

•Propose Haar wavelet transformation and ROC curve for EEG signal feature extraction.•Combine wavelets and interval type-2 fuzzy logic system for EEG signal classification.•Benchmark datasets downloaded from the BCI competition II are used for experiments.•Proposed wavelet-IT2FLS outperforms the winner methods of the BCI competition II.•IT2FLS dominates competing classifiers: FFNN, SVM, kNN, AdaBoost and ANFIS.