Combining heterogeneous classifiers via granular prototypes

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Tien Thanh Nguyen, Mai Phuong Nguyen, Xuan Cuong Pham, Alan Wee-Chung Liew, Witold Pedrycz

Published: 01 Dec 2018, Last Modified: 06 Nov 2025Applied Soft ComputingEveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•We modelled the base classifiers’ output by using a granular prototype.•We quantified the distance between base classifiers’ output and a granular prototype.•We proposed a novel framework to combine multiple classifiers in an ensemble system.•The proposed method is highly competitive to some state-of-the-art ensemble methods.