Self-organizing fuzzy inference ensemble system for big streaming data classification

作者：

Highlights：

• A novel fuzzy ensemble framework proposed for big streaming data classification.

• A novel fuzzy inference system to learn from streaming data chunk-by-chunk.

• The base learner to self-calibrate precise decision boundaries from streaming data.

• A novel ensemble architecture to build diverse committees with high efficiency.

摘要

•A novel fuzzy ensemble framework proposed for big streaming data classification.•A novel fuzzy inference system to learn from streaming data chunk-by-chunk.•The base learner to self-calibrate precise decision boundaries from streaming data.•A novel ensemble architecture to build diverse committees with high efficiency.

论文关键词：Ensemble system,Evolving intelligent system,Large-scale data stream,Prototypes

论文评审过程：Received 12 May 2020, Revised 2 January 2021, Accepted 16 February 2021, Available online 18 February 2021, Version of Record 24 February 2021.

论文官网地址：https://doi.org/10.1016/j.knosys.2021.106870