An extended ANFIS architecture and its learning properties for type-1 and interval type-2 models
Chao, Chen and John, Robert and Twycross, Jamie and Garibaldi, Jonathan M. (2016) An extended ANFIS architecture and its learning properties for type-1 and interval type-2 models. In: 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016), 24-29 July, 2016, Vancouver.
In this paper, an extended ANFIS architecture is proposed. By incorporating an extra layer for the fuzzification process, the extended architecture is able to fit both type-1 and interval type-2 models. The learning properties of the proposed architecture based on the least-squares estimate method are studied on selected type-1 and interval type-2 ANFIS models. We show that the least-squares estimate method in general behaves differently for interval type-2 ANFIS models compared to type-1 ANFIS models, producing larger errors for interval type-2 ANFIS.
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