Computational Intelligence
نویسنده
چکیده
Type-1 Fuzzy Logic Systems (FLSs) have been applied to date with great success to different applications. However, for many real-world applications, there is a need to cope with large amounts of uncertainties. The traditional Type-1 FLSs that use crisp Type-1 fuzzy sets cannot directly handle such uncertainties. Type-2 FLSs that use Type2 fuzzy sets can handle such uncertainties to produce a better performance. Hence, Type-2 FLSs will have the potential to overcome the limitations of Type-1 FLSs and produce a new generation of fuzzy systems with improved performance for many applications which require handling high levels of uncertainty. This chapter will provide an overview of interval Type-2 fuzzy sets and interval Type-2 FLSs and their advantages. We will also present different techniques to avoid the computational overheads and thus enabling the interval Type-2 FLSs to produce a good real time response. Furthermore, we will present a brief overview of interval Type-2 FLSs applications.
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