“…In addition, to improve the overall classification accuracy, only the selected fuzzy models satisfying the prediction precision and diversity criteria can join the decision-making committee. An ensemble classification model combines a fuzzy classifier and a less interpretable but more accuracy classifier, i.e., ANN, is proposed in [45]. This ensemble aims to achieve high classification precision while maintaining its interpretability by utilising the so-called confidence-based voting strategy such that the fuzzy classifier serves as the main component and the second classifier will be activated only when the confidence level of the fuzzy classifier is low.…”