TY - GEN A1 - Nowicki, Robert K. A2 - Korbicz, Józef - red. A2 - Uciński, Dariusz - red. PB - Zielona Góra: Uniwersytet Zielonogórski N2 - The paper presents a new approach to fuzzy classification in the case of missing data. Rough-fuzzy sets are incorporatedinto logical type neuro-fuzzy structures and a rough-neuro-fuzzy classifier is derived. Theorems which allow determiningthe structure of the rough-neuro-fuzzy classifier are given. Several experiments illustrating the performance of the roughneuro-fuzzy classifier working in the case of missing features are described. L1 - http://www.zbc.uz.zgora.pl/Content/46834/AMCS_2010_20_1_4.pdf L2 - http://www.zbc.uz.zgora.pl/Content/46834 KW - fuzzy sets KW - rough sets KW - neuro-fuzzy architectures KW - classification KW - missing data T1 - On classification with missing data using rough-neuro-fuzzy systems UR - http://www.zbc.uz.zgora.pl/dlibra/docmetadata?id=46834 ER -