Performance enhancement for neural fuzzy systems using asymmetric membership functions
Fuzzy Sets and Systems
The collapsing method of defuzzification for discretised interval type-2 fuzzy sets
Information Sciences: an International Journal
On constructing parsimonious type-2 fuzzy logic systems via influential rule selection
IEEE Transactions on Fuzzy Systems
Accurate segmentation of dermoscopic images by image thresholding based on type-2 fuzzy logic
IEEE Transactions on Fuzzy Systems
An axiomatic model for measuring contradiction and N-contradiction between two AIFSs
Information Sciences: an International Journal
A recurrent self-evolving interval type-2 fuzzy neural network for dynamic system processing
IEEE Transactions on Fuzzy Systems
An Interval Type-2 Fuzzy multiple echelon supply chain model
Knowledge-Based Systems
Information Sciences: an International Journal
Implementation of fuzzy logic controller for parallel hybrid electric vehicle
ICOSSSE'10 Proceedings of the 9th WSEAS international conference on System science and simulation in engineering
Interval type-2 fuzzy modelling and simulated annealing for real-world inventory management
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part I
Study on enhanced Karnik-Mendel algorithms: Initialization explanations and computation improvements
Information Sciences: an International Journal
Type-2 fuzzy tool condition monitoring system based on acoustic emission in micromilling
Information Sciences: an International Journal
Skin cancer extraction with optimum fuzzy thresholding technique
Applied Intelligence
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
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Type-2 fuzzy logic offers an opportunity to model levels of uncertainty with which traditional fuzzy logic (type-1) struggles. This article provides a historical perspective of the development of type-2 fuzzy logic with a retrospective review of important developments in the field. We discuss key questions about the technology such as - when should type-2 systems be used? and why has it taken so long for this technology to emerge? The article concludes by highlighting areas where, we believe, type-2 fuzzy logic will have a significant role to play in the future