A parallel fuzzy rule-base based decision tree in the framework of map-reduce

作者：

Highlights：

• A parallel fusing fuzzy rule based classification system (MR-FFRCS) is proposed.

• A parallel decision tree (MR-FRBDT) based on the proposed MR-FFRCS is designed.

• Compared with the traditional method (FRDT), MR-FRBDT has fewer parameters.

• The proposed MR-FRBDT has the ability to handle large-scale data sets.

摘要

•A parallel fusing fuzzy rule based classification system (MR-FFRCS) is proposed.•A parallel decision tree (MR-FRBDT) based on the proposed MR-FFRCS is designed.•Compared with the traditional method (FRDT), MR-FRBDT has fewer parameters.•The proposed MR-FRBDT has the ability to handle large-scale data sets.

论文关键词：Parallel computing,Fuzzy classifier,Decision trees,Fuzzy rules,Map-Reduce

论文评审过程：Received 19 September 2019, Revised 3 January 2020, Accepted 8 March 2020, Available online 9 March 2020, Version of Record 14 March 2020.

论文官网地址：https://doi.org/10.1016/j.patcog.2020.107326