8. Conclusions

In this paper fuzzy inductive modeling method FGMDH is considered.

The algorithms of FGMDH with different membership functions and different partial descriptions, including orthogonal polynomials, were presented and analyzed.

The experimental investigations of GMDH and fuzzy GMDH in problems of macroeconomic index forecast in Ukrainian economy were carried out.

The comparative investigations of FGMDH with ARIMA and neural network backpropagation were performed.

Experimental result analysis has confirmed the high accuracy of fuzzy GMDH in problems of forecasting in macroeconomy.

Investigation of Fuzzy Inductive Modeling Method in Forecasting Problems DOI: http://dx.doi.org/10.5772/intechopen.86348
