Type-2 FLCs: A new generation of fuzzy controllers

被引:319
作者
Hagras, Hani [1 ]
机构
[1] Univ Essex, Colchester CO4 3SQ, Essex, England
关键词
D O I
10.1109/MCI.2007.357192
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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 will introduce briefly the interval type-2 FLC and its benefits. We will also present briefly the type-2 FLC application to three challenging domains: industrial control, mobile robots control and ambient intelligent environments control.
引用
收藏
页码:30 / 43
页数:14
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