Uncertainty measures for interval type-2 fuzzy sets
Information Sciences: an International Journal
Design of interval type-2 fuzzy sliding-mode controller
Information Sciences: an International Journal
Grammatical inference for robotic self-assembly: basic methodology
AIKED'09 Proceedings of the 8th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
Grammatical inference methodology for control systems
WSEAS Transactions on Computers
Information Sciences: an International Journal
A Novel Type-2 Fuzzy Ontology and Its Application to Diet Assessment
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Fuzzy subsethood for fuzzy sets of type-2 and generalized type-n
IEEE Transactions on Fuzzy Systems
Self learning fuzzy controllers using iterative learning tuner
Digital Signal Processing
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Interval type-2 fuzzy logic congestion control for video streaming across IP networks
IEEE Transactions on Fuzzy Systems
α-plane representation for type-2 fuzzy sets: theory and applications
IEEE Transactions on Fuzzy Systems
Expert Systems with Applications: An International Journal
On the stability of interval type-2 TSK fuzzy logic control systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
A type-2 fuzzy ontology and its application to personal diabetic-diet recommendation
IEEE Transactions on Fuzzy Systems
Computing with words for hierarchical decision making applied to evaluating a weapon system
IEEE Transactions on Fuzzy Systems - Special section on computing with words
Type-2 fuzzy sets as functions on spaces
IEEE Transactions on Fuzzy Systems
Uncertainty measures for general Type-2 fuzzy sets
Information Sciences: an International Journal
Hierarchical type-2 neuro-fuzzy BSP model
Information Sciences: an International Journal
Information Sciences: an International Journal
Fire-rule-based direct adaptive type-2 fuzzy H∞ tracking control
Engineering Applications of Artificial Intelligence
Type-2 fuzzy modeling for acoustic emission signal in precision manufacturing
Modelling and Simulation in Engineering
A survey-based type-2 fuzzy logic system for energy management in hybrid electrical vehicles
Information Sciences: an International Journal
Multi-attribute group decision making models under interval type-2 fuzzy environment
Knowledge-Based Systems
An intelligent information retrieval approach based on two degrees of uncertainty fuzzy ontology
Advances in Fuzzy Systems - Special issue on Fuzzy Functions, Relations, and Fuzzy Transforms: Theoretical Aspects and Applications to Fuzzy Systems
Engineering Applications of Artificial Intelligence
Adaptive H8 Fuzzy Control for a Class of Uncertain Discrete-Time Nonlinear Systems
International Journal of Artificial Life Research
Exact inversion of decomposable interval type-2 fuzzy logic systems
International Journal of Approximate Reasoning
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
Interval type-2 fuzzy PID load frequency controller using Big Bang-Big Crunch optimization
Applied Soft Computing
General type-2 fuzzy logic systems based on refinement constraint triangulated irregular network
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
| Hi-index | 0.00 |
Type-1 fuzzy logic controllers (FLCs) have been applied to date with great success to many different applications. However, for dynamic unstructured environments and many real-world applications, there is a need to cope with large amounts of uncertainties. The traditional type-1 FLC using crisp type-1 fuzzy sets cannot directly handle such uncertainties. A type-2 FLC using type-2 fuzzy sets can handle such uncertainties to produce a better performance. Hence, type-2 FLCs will have the potential to overcome the limitations of type-1 FLCs and produce a new generation of fuzzy controllers with improved performance for many applications, which require handling high levels of uncertainty. This paper introduces briefly the interval type-2 FLC and its benefits. We also present briefly the type-2 FLC application to three challenging domains: industrial control, mobile robots control and ambient intelligent environments control