A course in fuzzy systems and control
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Applications of type-2 fuzzy logic systems to forecasting of time-series
Information Sciences—Informatics and Computer Science: An International Journal
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An efficient centroid type-reduction strategy for general type-2 fuzzy logic system
Information Sciences: an International Journal
General type-2 fuzzy classifiers to land cover classification
Proceedings of the 2008 ACM symposium on Applied computing
Type-2 Fuzzy System Based Blood Pressure Parameters Estimation
AMS '08 Proceedings of the 2008 Second Asia International Conference on Modelling & Simulation (AMS)
Type-2 fuzzy Gaussian mixture models
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International Journal of Approximate Reasoning
The collapsing method of defuzzification for discretised interval type-2 fuzzy sets
Information Sciences: an International Journal
A hybrid learning algorithm for a class of interval type-2 fuzzy neural networks
Information Sciences: an International Journal
Type-2 Fuzzy Logic: Theory and Applications
Type-2 Fuzzy Logic: Theory and Applications
TaSe, a Taylor series-based fuzzy system model that combines interpretability and accuracy
Fuzzy Sets and Systems
α-plane representation for type-2 fuzzy sets: theory and applications
IEEE Transactions on Fuzzy Systems
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
Toward general type-2 fuzzy logic systems based on zSlices
IEEE Transactions on Fuzzy Systems
International Journal of Approximate Reasoning
Expert Systems with Applications: An International Journal
A review on the design and optimization of interval type-2 fuzzy controllers
Applied Soft Computing
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IEEE Computational Intelligence Magazine - Corrected Reprint
Interval type-2 fuzzy logic systems: theory and design
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Uncertainty bounds and their use in the design of interval type-2 fuzzy logic systems
IEEE Transactions on Fuzzy Systems
Type-2 fuzzy hidden Markov models and their application to speech recognition
IEEE Transactions on Fuzzy Systems
Interval Type-2 Fuzzy Logic Systems Made Simple
IEEE Transactions on Fuzzy Systems
Geometric Type-1 and Type-2 Fuzzy Logic Systems
IEEE Transactions on Fuzzy Systems
Uncertain Fuzzy Clustering: Interval Type-2 Fuzzy Approach to C-Means
IEEE Transactions on Fuzzy Systems
A Fast Geometric Method for Defuzzification of Type-2 Fuzzy Sets
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Exact inversion of decomposable interval type-2 fuzzy logic systems
International Journal of Approximate Reasoning
Bifurcating fuzzy sets: Theory and application
Neurocomputing
Forecasting stock index price based on M-factors fuzzy time series and particle swarm optimization
International Journal of Approximate Reasoning
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The theoretical and computational complexities involved in non-uniform type-2 fuzzy sets (T2 FSs) are main obstacles to apply these sets to modeling high-order uncertainties. To reduce the complexities, this paper introduces a 2uFunction representation for T2 FSs. This representation captures the ideas from probability theory. By using this representation, any non-uniform T2 FS can be represented by a function of two uniform T2 FSs. In addition, any non-uniform T2 fuzzy logic system (FLS) can be indirectly designed by two uniform T2 FLSs. In particular, a 2uFunction-based trapezoid T2 FLS is designed. Then, it is applied to the problem of forecasting Mackey-Glass time series corrupted by two kinds of noise sources: (1) stationary and (2) non-stationary additive noises. Finally, the performance of the proposed FLS is compared by (1) other types of FLS: T1 FLS and uniform T2 FLS, and (2) other studies: ANFIS [54], IT2FNN-1 [54], T2SFLS [3] and Q-T2FLS [35]. Comparative results show that the proposed design has a low prediction error as well as is suitable for online applications.