Hybrid learning for interval type-2 intuitionistic fuzzy logic systems as applied to identification and prediction problems

• Main Authors: Eyoh, Imo, John, Robert, De Maere, Geert, Kayacan, Erdal
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Mechanical engineering; Decoupled Extended Kalman Filter (DEKF); Gradient Descent (GD) Algorithm
• Online Access: https://hdl.handle.net/10356/142444
• Institution: Nanyang Technological University

This paper presents a novel application of a hybrid learning approach to the optimisation of membership and nonmembership functions of a newly developed interval type-2 intuitionistic fuzzy logic system (IT2 IFLS) of a Takagi-Sugeno-Kang (TSK) fuzzy inference system with neural network learning capa...