@INPROCEEDINGS{Marcin2008,
  author = {Marcin Korytkowski and Robert Nowicki and Rafał Scherer and Leszek Rutkowski},
  title = {Ensemble of Rough-Neuro-Fuzzy Systems for Classification with Missing
	Features},
  booktitle = {2008 IEEE International Conference on Fuzzy Systems (FUZZ 2008)},
  year = {2008},
  pages = {1745-1750},
  abstract = {Most methods constituting the soft computing concept can not handle
	data with missing or unknown features. Neural networks are able to
	perfectly fit to data and fuzzy logic systems use interpretable knowledge.
	To achieve better accuracy learning systems can be combined into
	larger ensembles. In this paper we combine logical neuro-fuzzy systems
	into the AdaBoost ensemble and extract fuzzy rules from the ensemble.
	The rules are used in rough-neuro-fuzzy classifier which can operate
	on data with missing values. The rough systems perform very well
	on these rules which was illustrated on a well known benchmark. The
	features were being removed to check the performance on incomplete
	data sets.}
}