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Modelling high-dimensional systems with fuzzy rules

The use of large number of variables to describe complex systems generates redundant elements and an excessive complexity with a poor transparency of the model describing the system. A particular interest is necessary to select relevant input variables to identify the input structure. We propose a method to select this structure in order to provide a compromise between the complexity, the transparency and the numerical accuracy of the studied model.