IEEE Computational Intelligence Magazine · 2007 · 475 citations · 29 references
Fuzzy SystemsEngineeringFuzzy ControlFuzzy ModelingNew GenerationIntelligent SystemsFuzzy Control SystemType-2 FlcSystems EngineeringType-1 FlcsFuzzy LogicFuzzy ComputingMechatronicsComputer ScienceAerospace EngineeringFuzzy Expert SystemAutomationRobust Fuzzy ProgrammingInterval Type-2 FlcRobotics
Type‑1 fuzzy logic controllers have succeeded in many applications, yet their crisp sets cannot cope with the large uncertainties of dynamic, unstructured environments, motivating the use of type‑2 FLCs that can better handle such uncertainty and promise improved performance. This paper introduces the interval type‑2 fuzzy logic controller and outlines its advantages. The authors demonstrate the interval type‑2 FLC in industrial control, mobile robot control, and ambient intelligent environment control.
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.
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