Interval type-2 neuro-fuzzy system with implication-based inference mechanism

作者：

Highlights：

• The system uses interval type-2 fuzzy sets in premises and consequences of rules.

• The system uses several interval type-2 fuzzy implications.

• The system applies logical interpretation to fuzzy rules.

• The paper is accompanied by numerical examples.

• The system can elaborate models with lower errors than type-1 and type-2 systems.

摘要

•The system uses interval type-2 fuzzy sets in premises and consequences of rules.•The system uses several interval type-2 fuzzy implications.•The system applies logical interpretation to fuzzy rules.•The paper is accompanied by numerical examples.•The system can elaborate models with lower errors than type-1 and type-2 systems.

论文关键词：Implication-based rules,Fuzzy inference systems,Neuro-fuzzy systems,Interval type-2 fuzzy sets

论文评审过程：Received 25 August 2016, Revised 19 February 2017, Accepted 28 February 2017, Available online 6 March 2017, Version of Record 6 March 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.02.046