@incollection{id:Siminski2016Memetic,
  title={Memetic Neuro-Fuzzy System with {B}ig-{B}ang-{B}ig-{C}runch Optimisation},
  author={Siminski, Krzysztof},
  booktitle={Man--Machine Interactions 4},
  pages={583--592},
  year={2016},
  publisher={Springer International Publishing},
  abstract = {Incomplete data are common and require special techniques.
The essential techniques are: marginalisation, imputation, and rough
sets. The paper presents the imputation by inversion of the neuro-fuzzy
system. First the neuro-fuzzy systems is trained with complete data.
Next the system is inverted and the missing values are imputed. The
complete and imputed data are used to train the final neuro-fuzzy system. 
The technique is limited to data items with one missing value. The
paper is accompanied by numerical examples and statistical verification.},
}