Evolving fuzzy reasoning approach using a novel nature-inspired optimization tool

作者：

Highlights：

• Evolution of fuzzy reasoning tool.

• Combined Mamdani and Takagi and Sugeno’s approach.

• Nature-inspired Bonobo optimization is used.

• Compared with the performances of GA, PSO, GWO, Jaya Algorithm.

• Tested on three data sets.

摘要

•Evolution of fuzzy reasoning tool.•Combined Mamdani and Takagi and Sugeno’s approach.•Nature-inspired Bonobo optimization is used.•Compared with the performances of GA, PSO, GWO, Jaya Algorithm.•Tested on three data sets.

论文关键词：Fuzzy reasoning tool,Combined Mamdani and Takagi & Sugeno’s approach,Evolution,Bonobo Optimizer

论文评审过程：Received 3 August 2020, Revised 4 January 2021, Accepted 4 January 2021, Available online 8 January 2021, Version of Record 16 January 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114577