Interpretable Semi-Mechanistic Fuzzy Models by Clustering , OLS and FIS Model Reduction

@inproceedings{Abonyi2002InterpretableSF,
  title={Interpretable Semi-Mechanistic Fuzzy Models by Clustering , OLS and FIS Model Reduction},
  author={J{\'a}nos Abonyi and Hans Roubos and Robert Babuska and Ferenc Szeifert},
  year={2002}
}
A semi-mechanistic fuzzy modeling technique is proposed to obtain compact and transparent process models based on small data-sets. Semi-mechanistic models are hybrid models that consist of a white box structure based on mechanistic relationships and black-box substructures to model less defined parts. First, it is shown that certain type of white-box models can be efficiently incorporated into a Takagi-Sugeno fuzzy rule structure. Next, the proposed models are identified from learning data and… CONTINUE READING
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