Type-2 Fuzzy Neural Networks
Abstract
The two most common artificial intelligence techniques, FLSs and ANNs, can be used in the same structure simultaneously, namely as “fuzzy neural networks.” The advantages of ANNs such as learning capability from input-output data, generalization capability, and robustness and the advantages of fuzzy logic theory such as using expert knowledge are harmonized in FNNs. In this chapter, type-1 and type-2 TSK fuzzy logic models are introduced. Instead of using fuzzy sets in the consequent part (as in Mamdani models), the TSK model uses a function of the input variables. The order of the function determines the order of the model, e.g., zeroth-order TSK model, first-order TSK model, etc.
Keywords ...
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