On constructing parsimonious type-2 fuzzy logic systems via influential rule selection
IEEE Transactions on Fuzzy Systems
Identification and control of time-varying plants using type-2 fuzzy neural system
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A recurrent self-evolving interval type-2 fuzzy neural network for dynamic system processing
IEEE Transactions on Fuzzy Systems
Robust interval type-2 possibilistic C-means clustering and its application for fuzzy modeling
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 4
Decision making with imprecise parameters
International Journal of Approximate Reasoning
Type-2 fuzzy neural networks with fuzzy clustering and differential evolution optimization
Information Sciences: an International Journal
Fuzzy type 2 inference system for credit scoring
ACMOS'09 Proceedings of the 11th WSEAS international conference on Automatic control, modelling and simulation
Type-2 neuro-fuzzy modeling for a batch biotechnological process
MICAI'11 Proceedings of the 10th international conference on Artificial Intelligence: advances in Soft Computing - Volume Part II
Modeling data uncertainty on electric load forecasting based on Type-2 fuzzy logic set theory
Engineering Applications of Artificial Intelligence
System Identification Based on Dynamical Training for Recurrent Interval Type-2 Fuzzy Neural Network
International Journal of Fuzzy System Applications
Overview of Type-2 Fuzzy Logic Systems
International Journal of Fuzzy System Applications
A new indirect approach to the type-2 fuzzy systems modeling and design
Information Sciences: an International Journal
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In this comment, it will be shown that the backpropagation (BP) equations by Wang are not correct. These BP equations were used to tune the parameters of the antecedent type-2 membership functions as well as the consequent part of the interval type-2 fuzzy neural networks (T2FNNs). These incorrect equations would have led to erroneous results, and hence this might affect the comparisons and findings presented by Wang This comment will highlight the correct BP tuning equations for the T2FNN