It is used to derive five fuzzy ‘if-then’ rules that govern the processing a set of input variables to produce a single predicted output. The output is then compared to the measured values to test the accuracy of the model. Each input variable is linked to five parameterized Gaussian-shaped membership functions (MFs) that represent its fuzzy linguistic labels (i.e.very low, low, medium, high and very high).