When we wish to model a system from a set of examples we use a method that is capable of supporting and modeling those examples. There are many candidates and the question may always arise as to which is performing best or whether a combination is providing better results. In this paper we present a method for using fuzzy integral as a fusion operator both for the different types of modeling methods, and as a selection operator capable of informing as to the importance of the sources, which are used. Thus, we are left with a reduced set, which improves the modeling of the system as far as is possible.