| Sequential covering rule induction algorithm for variable consistency rough set approaches J Błaszczyński, R Słowiński, M Szeląg Information Sciences 181 (5), 987-1002, 2011 | 224 | 2011 |
| Monotonic variable consistency rough set approaches J Błaszczyński, S Greco, R Słowiński, M Szeląg International Journal of Approximate Reasoning 50 (7), 979-999, 2009 | 154 | 2009 |
| jMAF - Dominance-based Rough Set Data Analysis Framework J Błaszczyński, S Greco, B Matarazzo, R Słowiński, M Szeląg Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam 1 …, 2013 | 65 | 2013 |
| Variable consistency dominance-based rough set approach to preference learning in multicriteria ranking M Szeląg, S Greco, R Słowiński Information Sciences 277, 525-552, 2014 | 43 | 2014 |
| On variable consistency dominance-based rough set approaches J Błaszczyński, S Greco, R Słowiński, M Szeląg International Conference on Rough Sets and Current Trends in Computing, 191-202, 2006 | 38 | 2006 |
| Monotonic variable consistency rough set approaches J Błaszczyński, S Greco, R Słowiński, M Szeląg Rough Sets and Knowledge Technology 2007, 126-133, 2007 | 28 | 2007 |
| Auto loan fraud detection using dominance-based rough set approach versus machine learning methods J Błaszczyński, AT de Almeida Filho, A Matuszyk, M Szeląg, R Słowiński Expert Systems with Applications 163, 113740, 2021 | 25 | 2021 |
| Learning of rule ensembles for multiple attribute ranking problems K Dembczyński, W Kotłowski, R Słowiński, M Szeląg Preference Learning, 217-247, 2010 | 25 | 2010 |
| Probabilistic rough set approaches to ordinal classification with monotonicity constraints J Błaszczyński, R Słowiński, M Szeląg International Conference on Information Processing and Management of …, 2010 | 14 | 2010 |
| Induction of ordinal classification rules from incomplete data J Błaszczyński, R Słowiński, M Szeląg International Conference on Rough Sets and Current Trends in Computing, 56-65, 2012 | 13 | 2012 |
| A Novel Method for Elimination of Inconsistencies in Ordinal Classification with Monotonicity Constraints W Deng, G Wang, F Hu, J Błaszczyński, R Słowiński, M Szeląg Fundamenta Informaticae 126, 377-395, 2013 | 11 | 2013 |
| Ensembles of decision rules J Błaszczyński, K Dembczyński, W Kotłowski, R Słowiński, M Szeląg Foundations of Computing and Decision Sciences 31 (3-4), 221-232, 2006 | 11* | 2006 |
| Rule-Based Approach to Multicriteria Ranking M Szeląg, S Greco, R Słowiński Multicriteria Decision Aid and Artificial Intelligence: Links, Theory and …, 2013 | 9 | 2013 |
| VC-DomLEM: rule induction algorithm for variable consistency rough set approaches J Błaszczyński, R Słowiński, M Szeląg Technical Report RA-07/09, Poznań University of Technology, 2009 | 7 | 2009 |
| Dominance-Based Rough Set Approach to Multiple Criteria Ranking with Sorting-Specific Preference Information M Kadzinski, R Słowinski, M Szelag Challenges in Computational Statistics and Data Mining 605, 155, 2015 | 6 | 2015 |
| Ensembles of decision rules for solving binary classification problems in the presence of missing values J Błaszczyński, K Dembczyński, W Kotłowski, R Słowiński, M Szeląg International Conference on Rough Sets and Current Trends in Computing, 224-234, 2006 | 5 | 2006 |
| Rough Set Analysis of Classification Data with Missing Values M Szeląg, J Błaszczyński, R Słowiński International Joint Conference on Rough Sets, 552-565, 2017 | 4 | 2017 |
| Learnability in rough set approaches J Błaszczyński, R Słowiński, M Szelag International Conference on Rough Sets and Current Trends in Computing, 402-411, 2010 | 4 | 2010 |
| On different ways of handling inconsistencies in ordinal classification with monotonicity constraints J Błaszczyński, W Deng, F Hu, R Słowiński, M Szeląg, G Wang International Conference on Information Processing and Management of …, 2012 | 3 | 2012 |
| Case-based reasoning using dominance-based decision rules M Szeląg, S Greco, J Błaszczyński, R Słowiński International Conference on Rough Sets and Knowledge Technology, 404-413, 2011 | 3 | 2011 |
Roman SlowinskiPoznan University of TechnologyEmail verificata su cs.put.poznan.pl
