Modeling MPEG VBR video traffic using type-2 fuzzy logic systems
Granular computing
Hardware architecture and FPGA implementation of a type-2 fuzzy system
Proceedings of the 14th ACM Great Lakes symposium on VLSI
An adaptive neuro-fuzzy filter design via periodic fuzzy neural network
Signal Processing - Special section on content-based image and video retrieval
EURASIP Journal on Applied Signal Processing
Design of interval type-2 fuzzy sliding-mode controller
Information Sciences: an International Journal
New geometric inference techniques for type-2 fuzzy sets
International Journal of Approximate Reasoning
Information Sciences: an International Journal
Accurate segmentation of dermoscopic images by image thresholding based on type-2 fuzzy logic
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
Reinforcement self-organizing interval type-2 fuzzy system with ant colony optimization
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Type-2 fuzzy logic controllers: a way forward for fuzzy systems in real world environments
WCCI'08 Proceedings of the 2008 IEEE world conference on Computational intelligence: research frontiers
Comparative study of type-2 fuzzy sets and cloud model
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
Review: Industrial applications of type-2 fuzzy sets and systems: A concise review
Computers in Industry
An interval fuzzy controller for vehicle active suspension systems
IEEE Transactions on Intelligent Transportation Systems
Expert Systems with Applications: An International Journal
Predicting correlations properties of crude oil systems using type-2 fuzzy logic systems
Expert Systems with Applications: An International Journal
Hierarchical type-2 neuro-fuzzy BSP model
Information Sciences: an International Journal
An adaptive decision feedback equalizer based on the combination of the FIR and FLNN
Digital Signal Processing
OFDM channel equalization based on radial basis function networks
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
On two possible roles of type-2 fuzzy sets in linguistic summaries
AWIC'05 Proceedings of the Third international conference on Advances in Web Intelligence
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part II
Elements of the type-2 semantics in summarizing databases
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Robotics and Computer-Integrated Manufacturing
A simplified architecture for triangular quasi type-2 fuzzy logic systems
International Journal of Computational Intelligence Studies
Adaptive H8 Fuzzy Control for a Class of Uncertain Discrete-Time Nonlinear Systems
International Journal of Artificial Life Research
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
Type-2 fuzzy tool condition monitoring system based on acoustic emission in micromilling
Information Sciences: an International Journal
Channel equalization using quasi type-2 fuzzy strategies
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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Presents a kind of adaptive filter: type-2 fuzzy adaptive filter (FAF); one that is realized using an unnormalized type-2 Takagi-Sugeno-Kang (TSK) fuzzy logic system (FLS). We apply this filter to equalization of a nonlinear time-varying channel and demonstrate that it can implement the Bayesian equalizer for such a channel, has a simple structure, and provides fast inference. A clustering method is used to adaptively design the parameters of the FAF. Two structures are used for the equalizer: transversal equalizer (TE) and decision feedback equalizer (DFE). A decision tree structure is used to implement the decision feedback equalizer, in which each leaf of the tree is a type-2 FAF. This DFE vastly reduces computational complexity as compared to a TE. Simulation results show that equalizers based on type-2 FAFs perform much better than nearest neighbor classifiers (NNC) or equalizers based on type-1 FAFs