Sequential covering rule induction algorithm for variable consistency rough set approaches J Błaszczyński, R Słowiński, M Szeląg Information Sciences 181 (5), 987-1002, 2011 | 258 | 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 | 182 | 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 | 90 | 2013 |
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 | 87 | 2021 |
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 | 63 | 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 | 42 | 2006 |
Monotonic variable consistency rough set approaches J Błaszczyński, S Greco, R Słowiński, M Szeląg Rough Sets and Knowledge Technology 2007, 126-133, 2007 | 33 | 2007 |
Learning of rule ensembles for multiple attribute ranking problems K Dembczyński, W Kotłowski, R Słowiński, M Szeląg Preference Learning, 217-247, 2010 | 29 | 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 | 15 | 2012 |
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 | 15 | 2010 |
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 | 13 | 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 | 12* | 2006 |
Rough set analysis of classification data with missing values M Szeląg, J Błaszczyński, R Słowiński Rough Sets: International Joint Conference, IJCRS 2017, Olsztyn, Poland …, 2017 | 11 | 2017 |
Rule-Based Approach to Multicriteria Ranking M Szeląg, S Greco, R Słowiński Multicriteria Decision Aid and Artificial Intelligence: Links, Theory and …, 2013 | 10 | 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 | 10 | 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 | 7 | 2015 |
A Comparative Study of Two Rule-Based Explanation Methods for Diabetic Retinopathy Risk Assessment N Maaroof, A Moreno, A Valls, M Jabreel, M Szeląg Applied Sciences 12 (7), 3358, 2022 | 6 | 2022 |
Explaining and predicting customer churn by monotonic rules induced from ordinal data M Szeląg, R Słowiński European Journal of Operational Research, 2023 | 5 | 2023 |
Similarity-based classification with dominance-based decision rules M Szeląg, S Greco, R Słowiński Rough Sets: International Joint Conference, IJCRS 2016, Santiago de Chile …, 2016 | 5 | 2016 |
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 | 5 | 2011 |