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