A robust structure identification method for evolving fuzzy system

作者：

Highlights：

• A new evolving fuzzy system based on error-reducing method is developed.

• A new partitioning technique that locates the best splitting point is proposed.

• An index is proposed to find a compromise between accuracy and interpretability.

• Using real world data, the proposed model outperforms state-of-the art methods.

摘要

•A new evolving fuzzy system based on error-reducing method is developed.•A new partitioning technique that locates the best splitting point is proposed.•An index is proposed to find a compromise between accuracy and interpretability.•Using real world data, the proposed model outperforms state-of-the art methods.

论文关键词：Fuzzy system,Greedy algorithm,Error-reducing method,Incremental learning,Evolving method

论文评审过程：Received 4 August 2017, Revised 27 September 2017, Accepted 4 October 2017, Available online 13 October 2017, Version of Record 23 October 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.10.011