T–S Fuzzy Model Identification Based on a Novel Hyperplane-Shaped Membership Function

• Published in: IEEE transactions on fuzzy systems Vol. 25; no. 5; pp. 1364 - 1370
• Main Authors: Li, Chaoshun, Zhou, Jianzhong, Chang, Li, Huang, Zhengjun, Zhang, Yongchuan
• Format: Journal Article
• Language: English
• Published: IEEE 01.10.2017
• Subjects: Clustering algorithms; Clustering methods; Data models; Fuzzy c-regressive model; fuzzy membership function; Fuzzy sets; hyperplane-shaped Gaussian function; Linear regression; Parameter estimation; Partitioning algorithms; Takagi–Sugeno (T–S) fuzzy model

The fuzzy membership function is a crucial factor that may affect the model structure and modeling accuracy. Although hyperplane-shaped clustering (HPSC) has been widely used in Takagi-Sugeno (T-S) fuzzy model identification, there is no well-designed membership function in these approaches. The com...