In this book a new method for hybrid intelligent systems is proposed. The proposed method is
based on a granular computing approach applied in two levels. The techniques used and combined
in the proposed method are modular neural networks (MNNs) with a Granular Computing (GrC)
approach thus resulting in a new concept of MNNs modular granular neural networks (MGNNs). In
addition fuzzy logic (FL) and hierarchical genetic algorithms (HGAs) are techniques used in
this research work to improve results. These techniques are chosen because in other works have
demonstrated to be a good option and in the case of MNNs and HGAs these techniques allow to
improve the results obtained than with their conventional versions respectively artificial
neural networks and genetic algorithms.
