Investigation of Reference Sample Reduction Methods for Ensemble Output with Fuzzy Logic-Based Systems

Multiclass Fuzzily Weighted Adaptive-Boosting-Based Self-Organizing Fuzzy Inference Ensemble Systems for Classification

“…A deep rule-based ensemble classifier combining deep convolutional neural networks and conventional fuzzy systems is proposed in [42] for remote sensing scene classification. With the aim of reducing the requirements for computational resources and improving efficiency of ensemble fuzzy classifiers, the influence of reducing the reference sets in collective decisionmaking via instance selection is investigated in [43]. In [44], a ensemble fuzzy classifier named SENFIS is proposed for big data classification.…”