Neuro-fuzzy systems show very good performance and the knowledge comprised within their structure is easily interpretable.
To further improve their accuracy they can be combined into ensembles. In the paper we combine specially modified Mamdani
neuro-fuzzy systems into an AdaBoost ensemble. The proposed modification improves the interpretability of knowledge by allowing
merging the subsystems rule bases into one knowledge base. Simulations on two benchmarks shows excellent performance of the
modified neuro-fuzzy systems.
This work was partly supported by the Foundation for Polish Science (Professorial Grant 2005-2008) and the Polish Ministry
of Science and Higher Education (Habilitation Project 2007-2010 Nr N N516 1155 33, Special Research Project 2006-2009, Polish-Singapore
Research Project 2008-2010, Research Project 2008-2010).