Fuzzy rule base ensemble generated from data by linguistic associations mining

Abstract

As there are many various methods for time series prediction developed but none of them generally outperforms all the others, there always exists a danger of choosing a method that is inappropriate for a given time series. To overcome such a problem, distinct ensemble techniques, that combine several individual forecasts, are being proposed. In this… (More)
DOI: 10.1016/j.fss.2015.04.019

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Cite this paper

@article{Stepnicka2016FuzzyRB, title={Fuzzy rule base ensemble generated from data by linguistic associations mining}, author={Martin Stepnicka and Michal Burda and Lenka Stepnickov{\'a}}, journal={Fuzzy Sets and Systems}, year={2016}, volume={285}, pages={140-161} }