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

• المؤلفون الرئيسيون: Eyoh, Imo, John, Robert, De Maere, Geert, Kayacan, Erdal
• مؤلفون آخرون: School of Mechanical and Aerospace Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2020
• الموضوعات: Engineering::Mechanical engineering; Decoupled Extended Kalman Filter (DEKF); Gradient Descent (GD) Algorithm
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/142444

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...