An efficient centroid type-reduction strategy for general type-2 fuzzy logic system
Information Sciences: an International Journal
Efficient triangular type-2 fuzzy logic systems
International Journal of Approximate Reasoning
α-plane representation for type-2 fuzzy sets: theory and applications
IEEE Transactions on Fuzzy Systems
Toward general type-2 fuzzy logic systems based on zSlices
IEEE Transactions on Fuzzy Systems
Connection admission control in ATM networks using survey-based type-2 fuzzy logic systems
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Implementation of evolutionary fuzzy systems
IEEE Transactions on Fuzzy Systems
Equalization of nonlinear time-varying channels using type-2 fuzzy adaptive filters
IEEE Transactions on Fuzzy Systems
Geometric Type-1 and Type-2 Fuzzy Logic Systems
IEEE Transactions on Fuzzy Systems
A Fast Geometric Method for Defuzzification of Type-2 Fuzzy Sets
IEEE Transactions on Fuzzy Systems
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Type-2 fuzzy logic systems (T2 FLSs) are known for modelling and handling high levels of uncertainties associated with most of the real world applications. However, their very high computational complexities have generally prevented their wide spread application. Objectives of this paper are to: 1) present a simplified architecture for implementing a triangular quasi T2 FLS (QT2 FLS) that uses three embedded type-1 FLSs; 2) tune the footprint of uncertainty (FOU) with an objective to optimise the performances of interval T2 and QT2 FLSs; 3) compare the performances of T1, IT2 and triangular QT2 FLS (based on the proposed architecture). For validating the proposed architecture, it has been applied for forecasting of Mackey-Glass Time-Series. T1 FLS is firstly evolved using particle swarm optimisation (PSO) algorithm and is then upgraded to QT2 FLS. The simulation results for different noise levels and different FOUs show that the QT2 FLS based on the proposed realisation approach, can handle higher levels of data uncertainties under noisy conditions compared to IT2 FLS, and hence outperforms its T1 and IT2 counterparts.