T-S Fuzzy Model Identification With a Gravitational Search-Based Hyperplane Clustering Algorithm

• Published in: IEEE transactions on fuzzy systems Vol. 20; no. 2; pp. 305 - 317
• Main Authors: Li, Chaoshun, Zhou, Jianzhong, Fu, Bo, Kou, Pangao, Xiao, Jian
• Format: Journal Article
• Language: English
• Published: IEEE 01.04.2012
• Subjects: Clustering algorithms; Data models; Fuzzy model identification; gravitational search algorithm (GSA); hyperplane clustering; Optimization; Parameter estimation; Partitioning algorithms; Prototypes; Takagi-Sugeno (T-S) fuzzy model; Vectors

In order to improve the performance of the fuzzy clustering algorithm in fuzzy space partition in the identification of the Takagi-Sugeno (T-S) fuzzy model, a hyperplane prototype fuzzy clustering model is proposed. To solve the clustering objective function, which could not be handled by the gradie...