Fuzzy Logic Approach - Computational Intelligence in Time Series Forecasting - page 185

Figure 4.6(a). GMFs (three antecedent fuzzy sets) for input u (top) and input y (bottom).
Figure 4.6(b). Actual output and fuzzy model predicted output with training data (top),
Thereafter, using the antecedent fuzzy sets and LSE estimation on the training
data Takagi-Sugeno-type fuzzy rules' consequents were determined. Finally, the
efficiency of the model was tested by applying the generated fuzzy rules on the
evaluation data. The simulation results achieved are illustrated in Table 4.2(a) to
Table 4.2(e) and in Figure 4.6(a) to Figure 4.6(c).