| Fuzzy Logic Toolbox | ![]() |
anfis is much more complex than the fuzzy inference systems discussed so far, and is not available for all of the fuzzy inference system options. Specifically, anfis only supports Sugeno-type systems, and these must have the following properties:
Be first or zeroth order Sugeno-type systems.
Have a single output, obtained using weighted average defuzzification. All output membership functions must be the same type and either be linear or constant.
Have no rule sharing. Different rules cannot share the same output membership function, namely the number of output membership functions must be equal to the number of rules.
Have unity weight for each rule.
An error occurs if your FIS structure does not comply with these constraints.
Moreover, anfis cannot accept all the customization options that basic fuzzy inference allows. That is, you cannot make your own membership functions and defuzzification functions; you must use the ones provided.
| Familiarity Breeds Validation: Know Your Data | The ANFIS Editor GUI | ![]() |
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