Information Sciences: an International Journal
Accurate segmentation of dermoscopic images by image thresholding based on type-2 fuzzy logic
IEEE Transactions on Fuzzy Systems
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
Interval-valued fuzzy-rough feature selection in datasets with missing values
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
Expert Systems with Applications: An International Journal
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
Synchronization of uncertain chaotic systems based on adaptive type-2 fuzzy sliding mode control
Engineering Applications of Artificial Intelligence
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
An interval fuzzy controller for vehicle active suspension systems
IEEE Transactions on Intelligent Transportation Systems
Survey paper: A survey on industrial applications of fuzzy control
Computers in Industry
Design of interval type-2 fuzzy models through optimal granularity allocation
Applied Soft Computing
A review on the design and optimization of interval type-2 fuzzy controllers
Applied Soft Computing
Information Sciences: an International Journal
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
MICAI'11 Proceedings of the 10th international conference on Artificial Intelligence: advances in Soft Computing - Volume Part II
MICAI'11 Proceedings of the 10th international conference on Artificial Intelligence: advances in Soft Computing - Volume Part II
Optimization of type-2 fuzzy systems based on bio-inspired methods: A concise review
Information Sciences: an International Journal
Engineering Applications of Artificial Intelligence
A 2uFunction representation for non-uniform type-2 fuzzy sets: Theory and design
International Journal of Approximate Reasoning
Overview of Type-2 Fuzzy Logic Systems
International Journal of Fuzzy System Applications
MICAI'12 Proceedings of the 11th Mexican international conference on Advances in Computational Intelligence - Volume Part II
MICAI'12 Proceedings of the 11th Mexican international conference on Advances in Computational Intelligence - Volume Part II
Uncertainty degree and modeling of interval type-2 fuzzy sets: Definition, method and application
Computers & Mathematics with Applications
Interval type-2 fuzzy logic based antenatal care system using phonocardiography
Applied Soft Computing
Effects of type reduction algorithms on forecasting accuracy of IT2FLS models
Applied Soft Computing
Granular Computing Based on Gaussian Cloud Transformation
Fundamenta Informaticae - To Andrzej Skowron on His 70th Birthday
Topological relation analysis between high-order fuzzy regions based on fuzzy logic
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Geometric properties of interval type-II fuzzy regions
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Hi-index | 0.00 |
This book describes new methods for building intelligent systems using type-2 fuzzy logic and soft computing techniques. Soft Computing (SC) consists of several computing paradigms, including type-1 fuzzy logic, neural networks, and genetic algorithms, which can be used to create powerful hybrid intelligent systems. The authors extends the use of fuzzy logic to a higher order, which is called type-2 fuzzy logic. Combining type-2 fuzzy logic with traditional SC techniques, we can build powerful hybrid intelligent systems that can use the advantages that each technique offers. We consider in this book the use of type-2 fuzzy logic and traditional SC techniques to solve pattern recognition problems in realworld applications. This book is intended to be a major reference for scientists and engineers interested in applying type-2 fuzzy logic for solving problems in pattern recognition, intelligent control, intelligent manufacturing, robotics and automation. This book can also be used as a textbook or major reference for graduate courses like the following: soft computing, intelligent pattern recognition, computer vision, applied artificial intelligence, and similar ones.