Monotonic Takagi–Sugeno models with cubic spline membership functions

作者：

Highlights：

• Monotonicity conditions for T–S fuzzy system with cubic spline membership functions.

• Those conditions are included in nonlinear regression as linear constraints.

• Advantages of monotone nonlinear regression demonstrated on benchmark datasets.

摘要

•Monotonicity conditions for T–S fuzzy system with cubic spline membership functions.•Those conditions are included in nonlinear regression as linear constraints.•Advantages of monotone nonlinear regression demonstrated on benchmark datasets.

论文关键词：Monotonic fuzzy system,Fuzzy model identification,Nonlinear regression,Compact fuzzy set

论文评审过程：Received 1 March 2021, Revised 28 May 2021, Accepted 28 September 2021, Available online 14 October 2021, Version of Record 20 October 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115997