Enhanced Multivariable TS Fuzzy Modeling with Multivariable Fuzzy Sets without Decomposition
نویسنده
چکیده
Enhanced fuzzy modeling by multivariable fuzzy membership functions is described. From the interpretability issues viewpoint conventionally fuzzy modeling is carried out by means of decomposition of multivariable membership functions via projections on each variable component. However, due to decomposition there involves an error while reconstructing the model output from the contributions of each variable. To circumvent this error, in this work, the fuzzy modeling is accomplished by the multivariable fuzzy membership functions so that enhanced modeling performance is achieved. For the interpretability issues, still the conventional decomposition can be independently carried out as an informative support for better understanding the model properties while the accurate model functionality is maintained in the application involved.
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