Sequential three-way classifier with justifiable granularity

作者：

Highlights：

• The framework of sequence three-way classifier with multi-granulation is designed.

• Attribute reduction is adopted to help determine justifiable attribute subspace.

• A novel dynamic tri-partition based predicting strategy is proposed.

摘要

•The framework of sequence three-way classifier with multi-granulation is designed.•Attribute reduction is adopted to help determine justifiable attribute subspace.•A novel dynamic tri-partition based predicting strategy is proposed.

论文关键词：Sequential three-way decisions,Justifiable granularity,Attribute reduction,Classification,Justifiable attribute subspace

论文评审过程：Received 3 April 2018, Revised 15 August 2018, Accepted 17 August 2018, Available online 20 August 2018, Version of Record 21 November 2018.

论文官网地址：https://doi.org/10.1016/j.knosys.2018.08.022