An analysis of boosted ensembles of binary fuzzy decision trees

作者：

Highlights：

• An approach to boosting with fuzzy binary decision trees.

• Experimental analysis and extensive comparison with other fuzzy classifiers.

• Study of the parametrization through a convergence analysis.

摘要

•An approach to boosting with fuzzy binary decision trees.•Experimental analysis and extensive comparison with other fuzzy classifiers.•Study of the parametrization through a convergence analysis.

论文关键词：Ensemble classifiers,Boosting,Fuzzy characterization,Fuzzy decision trees,Rule-based classifiers

论文评审过程：Received 18 June 2019, Revised 1 February 2020, Accepted 4 April 2020, Available online 10 April 2020, Version of Record 27 April 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113436