Parallel Interval Type-2 Subsethood Neural Fuzzy Inference System
作者：
Highlights：
• A Subsethood based interval type-2 fuzzy neural evolutionary inference system.
• Model is implemented on a parallel platform, it learns using differential evolution.
• This model is hybrid of type-1 and type-2 fuzzy sets.
• Works excellent on function approx., time series prediction, control applications.
• This model handles uncertainty with lesser number of trainable parameters.
摘要
•A Subsethood based interval type-2 fuzzy neural evolutionary inference system.•Model is implemented on a parallel platform, it learns using differential evolution.•This model is hybrid of type-1 and type-2 fuzzy sets.•Works excellent on function approx., time series prediction, control applications.•This model handles uncertainty with lesser number of trainable parameters.
论文关键词：Interval type-2 fuzzy sets,Neuro-fuzzy systems,Subsethood,Differential evolution,Parallel message passing interface
论文评审过程：Received 8 December 2015, Revised 26 April 2016, Accepted 26 April 2016, Available online 27 April 2016, Version of Record 14 May 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.04.033
