Abstract
Type-2 fuzzy sets can handle rule uncertainties in a more effective way. In this paper, we review type-2 fuzzy logic systems (FLSs) simply and research the theory about type-2 TSK FLSs in detail, including three architectures of interval type-2 TSK FLSs. Then we analyze design methods and applications appeared recently for interval type-2 TSK FLSs, and finally, we indicate today’s deficiency and future’s development.
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Zheng, G., Wang, J., Jiang, L. (2009). Research on Type-2 TSK Fuzzy Logic Systems. In: Cao, B., Li, TF., Zhang, CY. (eds) Fuzzy Information and Engineering Volume 2. Advances in Intelligent and Soft Computing, vol 62. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03664-4_54
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DOI: https://doi.org/10.1007/978-3-642-03664-4_54
Publisher Name: Springer, Berlin, Heidelberg
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