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Models based on fuzzy logic are sometimes called rule-based models; these terms will be used interchangeably here.
In a logic based on fuzzy sets, the principle of the excluded middle is therefore invalid.
Representation of imprecise and uncertain knowledge is based on fuzzy sets and possibility and necessity measures.
Modeling of these expressions is based on fuzzy sets theory.
This chapter discusses non-linear filters based on fuzzy models.
The second is based on Fuzzy Logic Controller (FLC).
The employed AI is based on fuzzy inference.
Here, we propose a model based on fuzzy preferences.
Methods based on fuzzy logic provide an interesting alternative.
Fuzzy time series methods are based on fuzzy set theory.
The model is based on Fuzzy Logic Inference System.
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