Application of fuzzy sets of type 2 to the solution of fuzzy equation systems
Fuzzy Sets and Systems
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Uncertainty, fuzzy logic, and signal processing
Signal Processing - Special issue on fuzzy logic in signal processing
Soft computing for control of non-linear dynamical systems
Soft computing for control of non-linear dynamical systems
Soft Computing and Fractal Theory for Intelligent Manufacturing
Soft Computing and Fractal Theory for Intelligent Manufacturing
Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing: An Evolutionary Approach for Neural Networks and Fuzzy Systems (Studies in Fuzziness and Soft Computing)
Genetic learning and performance evaluation of interval type-2 fuzzy logic controllers
Engineering Applications of Artificial Intelligence
Information Sciences: an International Journal
Experimental study of intelligent controllers under uncertainty using type-1 and type-2 fuzzy logic
Information Sciences: an International Journal
Design of interval type-2 fuzzy sliding-mode controller
Information Sciences: an International Journal
Statistical Genetic Interval-Valued Fuzzy Systems with Prediction in Clinical Trials
GRC '07 Proceedings of the 2007 IEEE International Conference on Granular Computing
Systematic design of a stable type-2 fuzzy logic controller
Applied Soft Computing
New geometric inference techniques for type-2 fuzzy sets
International Journal of Approximate Reasoning
Hybrid Control for an Autonomous Wheeled Mobile Robot Under Perturbed Torques
IFSA '07 Proceedings of the 12th international Fuzzy Systems Association world congress on Foundations of Fuzzy Logic and Soft Computing
IFSA '07 Proceedings of the 12th international Fuzzy Systems Association world congress on Foundations of Fuzzy Logic and Soft Computing
ICETET '08 Proceedings of the 2008 First International Conference on Emerging Trends in Engineering and Technology
International Journal of Approximate Reasoning
Genetically Evolved Fuzzy Rule-Based Classifiers and Application to Automotive Classification
SEAL '08 Proceedings of the 7th International Conference on Simulated Evolution and Learning
Efficient triangular type-2 fuzzy logic systems
International Journal of Approximate Reasoning
Information Sciences: an International Journal
Information Sciences: an International Journal
A hybrid learning algorithm for a class of interval type-2 fuzzy neural networks
Information Sciences: an International Journal
Interval type-2 fuzzy logic and modular neural networks for face recognition applications
Applied Soft Computing
Type-2 Fuzzy Logic: Theory and Applications
Type-2 Fuzzy Logic: Theory and Applications
Interval type-2 fuzzy logic for edges detection in digital images
International Journal of Intelligent Systems - Analysis and Design of Hybrid Intelligent Systems
MICAI '09 Proceedings of the 8th Mexican International Conference on Artificial Intelligence
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An evolutive interval type-2 TSK fuzzy logic system for volatile time series identification
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
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
A Fuzzy Logic Controller tuned with PSO for 2 DOF robot trajectory control
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Type-2 Fuzzy Logic Controllers Optimization Using Genetic Algoritms and Particle Swarm Optimization
GRC '10 Proceedings of the 2010 IEEE International Conference on Granular Computing
GRC '10 Proceedings of the 2010 IEEE International Conference on Granular Computing
MICAI'10 Proceedings of the 9th Mexican international conference on Artificial intelligence conference on Advances in soft computing: Part II
Review: Industrial applications of type-2 fuzzy sets and systems: A concise review
Computers in Industry
Type-2 fuzzy neural networks with fuzzy clustering and differential evolution optimization
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Optimization of interval type-2 fuzzy logic controllers using evolutionary algorithms
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special issue on Recent advances on machine learning and Cybernetics
Information Sciences: an International Journal
Dynamical optimal training for interval type-2 fuzzy neural network (T2FNN)
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A hierarchical type-2 fuzzy logic control architecture for autonomous mobile robots
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Neural Networks
A new indirect approach to the type-2 fuzzy systems modeling and design
Information Sciences: an International Journal
Information Sciences: an International Journal
A survey on optimization metaheuristics
Information Sciences: an International Journal
Novel Adaptive Charged System Search algorithm for optimal tuning of fuzzy controllers
Expert Systems with Applications: An International Journal
Effects of type reduction algorithms on forecasting accuracy of IT2FLS models
Applied Soft Computing
An adaptive robust fuzzy beamformer for steering vector mismatch and reducing interference and noise
Information Sciences: an International Journal
Hi-index | 0.07 |
A review of the optimization methods used in the design of type-2 fuzzy systems, which are relatively novel models of imprecision, has been considered in this work. The fundamental focus of the work has been based on the basic reasons of the need for optimizing type-2 fuzzy systems for different areas of application. Recently, bio-inspired methods have emerged as powerful optimization algorithms for solving complex problems. In the case of designing type-2 fuzzy systems for particular applications, the use of bio-inspired optimization methods have helped in the complex task of finding the appropriate parameter values and structure of the fuzzy systems. In this review, we consider the application of genetic algorithms, particle swarm optimization and ant colony optimization as three different paradigms that help in the design of optimal type-2 fuzzy systems. We also provide a comparison of the different optimization methods for the case of designing type-2 fuzzy systems.