  We propose a hybrid forecast model based on discrete grey-fuzzy Markov and
grey neural network model and show that our hybrid model can improve much more
the performance of forecast than traditional grey-Markov model and neural
network models. Our simulation results are shown that our hybrid forecast
method with the combinational weight based on optimal grey relation degree
method is better than the hybrid model with combinational weight based
minimization of error-squared criterion.
