Type-2 Fuzzy membership function design method through a piecewise-linear approach
作者:
Highlights:
• This methodology links definition of the footprint of uncertainty to data features.
• Design parameters are conceptually-congruent with possibility theory.
• Outputs piece-wise linear MFs from a given density function.
• Data distribution can be symmetrical or unsymmetrical.
• Uncertainty can be incremented from a T1-MF to a FOU through a single parameter.
摘要
•This methodology links definition of the footprint of uncertainty to data features.•Design parameters are conceptually-congruent with possibility theory.•Outputs piece-wise linear MFs from a given density function.•Data distribution can be symmetrical or unsymmetrical.•Uncertainty can be incremented from a T1-MF to a FOU through a single parameter.
论文关键词:Type-2 Fuzzy systems,Membership function,Parametrization,Footprint of uncertainty
论文评审过程:Available online 4 June 2015, Version of Record 18 June 2015.
论文官网地址:https://doi.org/10.1016/j.eswa.2015.05.029