Journal of Universal Computer Science
An approach to predict from a data stream of real estate sales transactions based on ensembles of genetic fuzzy systems was presented. The proposed method relies on incremental expanding an ensemble by models built over successive chunks of a data stream. The output of aged component models produced for current data is updated according to a trend function reflecting the changes of premises prices since the moment of individual model generation or the beginning of the data stream. The impact of different trend functions on the accuracy of single and ensemble fuzzy models was investigated in the paper.