An ensemble extended belief rule base decision model for imbalanced classification problems

作者：

Highlights：

• Propose a diversity-based base EBRB construction method.

• Propose a consistency-based ensemble EBRB inference method.

• Propose an ensemble EBRB decision model based on the proposed methods.

• Provide extensive experiments using imbalanced classification datasets.

摘要

•Propose a diversity-based base EBRB construction method.•Propose a consistency-based ensemble EBRB inference method.•Propose an ensemble EBRB decision model based on the proposed methods.•Provide extensive experiments using imbalanced classification datasets.

论文关键词：Belief rule base,Imbalanced classification,Diversity,Inconsistency,Oversampling

论文评审过程：Received 29 October 2021, Revised 4 January 2022, Accepted 8 February 2022, Available online 15 February 2022, Version of Record 25 February 2022.

论文官网地址：https://doi.org/10.1016/j.knosys.2022.108410