Design of Takagi Sugeno Kang type interval type-2 fuzzy logic systems optimized with hybrid algorithms

Y Chen, J Yang, C Li - International Journal of Fuzzy Systems, 2023 - Springer
The paper designs a type of Takagi–Sugeno–Kang (TSK) type interval type-2 fuzzy logic
systems for permanent magnetic drive (PMD) coercivity and maximum energy product (MEP) …

Study on permanent magnetic drive forecasting by designing Takagi Sugeno Kang type interval type-2 fuzzy logic systems

D Wang, Y Chen - … of the Institute of Measurement and …, 2018 - journals.sagepub.com
The process of permanent magnetic drive (PMD) presents high uncertainty under the
complex operating conditions. In this paper, a type of Takagi Sugeno Kang (TSK) interval …

Design and application of Nagar-Bardini structure-based interval type-2 fuzzy logic systems optimized with the combination of backpropagation algorithms and …

Y Chen, C Li, J Yang - Expert Systems with Applications, 2023 - Elsevier
This paper designs a kind of Nagar-Bardini structure based on interval type-2 (IT2) fuzzy
logic systems for permanent magnetic drive uncertain parameter forecasting. For each fuzzy …

Forecasting by TSK general type‐2 fuzzy logic systems optimized with genetic algorithms

Y Chen, D Wang, W Ning - Optimal Control Applications and …, 2018 - Wiley Online Library
Researching the theory and applications of general type‐2 fuzzy logic systems (GT2 FLSs)
has become a hot orientation in recent years. The permanent‐magnetic drive (PMD) affected …

Forecasting by general type-2 fuzzy logic systems optimized with QPSO algorithms

Y Chen, D Wang - International Journal of Control, Automation and …, 2017 - Springer
With the development of α-planes representation result of general type-2 fuzzy sets, the
optimization and application of general type-2 fuzzy logic systems (GT2 FLSs) based on …

Forecasting by designing Mamdani general type-2 fuzzy logic systems optimized with quantum particle swarm optimization algorithms

Y Chen, D Wang - … of the Institute of Measurement and …, 2019 - journals.sagepub.com
Much more attention has been focused on studying and applying general type-2 fuzzy logic
systems (GT2 FLSs) in recent years. The paper designs a type of Mamdani GT2 FLS for …

Hybrid learning mechanism for interval A2-C1 type-2 non-singleton type-2 Takagi–Sugeno–Kang fuzzy logic systems

GM Mendez, M De Los Angeles HernáNdez - Information Sciences, 2013 - Elsevier
A proposed learning methodology based on a hybrid mechanism for training interval A2-C1
type-2 non-singleton type-2 Takagi–Sugeno–Kang fuzzy logic systems uses a recursive …

Realizing interval type-2 fuzzy systems with type-1 fuzzy systems

M Khosla, RK Sarin, M Uddin, S Singh… - … Applications of Artificial …, 2012 - igi-global.com
In this chapter, the authors have realized Interval Type-2 Fuzzy Logic Systems (IT2 FLSs)
with the average of two Type-1 Fuzzy Logic Systems (T1 FLSs). The authors have presented …

Parameter Prediction with Novel Enhanced Wagner Hagras Interval Type-3 Takagi–Sugeno–Kang Fuzzy System with Type-1 Non-Singleton Inputs

GAH Castorena, GM Méndez, I López-Juárez… - Mathematics, 2024 - mdpi.com
This paper presents the novel enhanced Wagner–Hagras interval type-3 Takagi–Sugeno–
Kang fuzzy logic system with type-1 non-singleton inputs (EWH IT3 TSK NSFLS-1) that uses …

Forecasting studies by designing Mamdani interval type-2 fuzzy logic systems: With the combination of BP algorithms and KM algorithms

Y Chen, D Wang, S Tong - Neurocomputing, 2016 - Elsevier
A type of Mamdani interval type-2 fuzzy logic systems is designed for historical data based
forecasting problem in the paper. In the Mamdani interval type-2 fuzzy logic systems design …