| A method of inference in approximate reasoning based on interval-valued fuzzy sets MB Gorzałczany Fuzzy sets and systems 21 (1), 1-17, 1987 | 1526 | 1987 |
| An interval-valued fuzzy inference method—some basic properties MB Gorzałczany Fuzzy Sets and Systems 31 (2), 243-251, 1989 | 154 | 1989 |
| A multi-objective genetic optimization for fast, fuzzy rule-based credit classification with balanced accuracy and interpretability MB Gorzałczany, F Rudziński Applied Soft Computing 40, 206-220, 2016 | 147 | 2016 |
| Computational intelligence systems and applications: neuro-fuzzy and fuzzy neural synergisms MB Gorzalczany Physica, 2012 | 131 | 2012 |
| Decision making in signal transmission problems with interval-valued fuzzy sets A Dziech, MB Gorzałczany Fuzzy Sets and Systems 23 (2), 191-203, 1987 | 92 | 1987 |
| Interval-valued fuzzy controller based on verbal model of object MB Gorzałczany Fuzzy Sets and Systems 28 (1), 45-53, 1988 | 87 | 1988 |
| Interpretable and accurate medical data classification–a multi-objective genetic-fuzzy optimization approach MB Gorzałczany, F Rudziński Expert Systems with Applications 71, 26-39, 2017 | 85 | 2017 |
| Neuro-fuzzy approach versus rough-set inspired methodology for intelligent decision support MB Gorzalczany, Z Piasta Information Sciences 120 (1-4), 45-68, 1999 | 68 | 1999 |
| On stability of formal fuzziness systems AA Kania, JB Kiszka, MB Gorzałczany, JR Maj, MS Stachowicz Information Sciences 22 (1), 51-68, 1980 | 55 | 1980 |
| Fuzzy neuro-computational technique and its application to modelling and control MM Gupta, MB Gorzalczany [1992 Proceedings] IEEE International Conference on Fuzzy Systems, 1271-1274, 1992 | 40 | 1992 |
| On some idea of a neuro-fuzzy controller MB Gorzalczany Information Sciences 120 (1-4), 69-87, 1999 | 38 | 1999 |
| Accuracy vs. interpretability of fuzzy rule-based classifiers: an evolutionary approach MB Gorzałczany, F Rudziński International Symposium on Evolutionary Computation, 222-230, 2012 | 37 | 2012 |
| A modified Pittsburg approach to design a genetic fuzzy rule-based classifier from data MB Gorzałczany, F Rudziński Artificial Intelligence and Soft Computing: 10th International Conference …, 2010 | 28 | 2010 |
| A neuro-fuzzy-genetic classifier for technical applications MB Gorzalczany, P Gradzki Proceedings of IEEE International Conference on Industrial Technology 2000 …, 2000 | 27 | 2000 |
| Generalized self-organizing maps for automatic determination of the number of clusters and their multiprototypes in cluster analysis MB Gorzałczany, F Rudziński IEEE Transactions on Neural Networks and Learning Systems 29 (7), 2833-2845, 2017 | 26 | 2017 |
| Some problems of studying adequacy of fuzzy models MB Gorzakzany, JB Kiszka, MS Stachowicz, RR Yager Fuzzy Set and Possibility Theory, 1982 | 26 | 1982 |
| A modern data-mining approach based on genetically optimized fuzzy systems for interpretable and accurate smart-grid stability prediction MB Gorzałczany, J Piekoszewski, F Rudziński Energies 13 (10), 2559, 2020 | 24 | 2020 |
| Application of genetic algorithms and Kohonen networks to cluster analysis MB Gorzałczany, F Rudziński International Conference on Artificial Intelligence and Soft Computing, 556-561, 2004 | 22 | 2004 |
| Neuro-fuzzy systems for rule-based modelling of dynamic processes MB Gorzalczany, A Gluszek Advances in Computational Intelligence and Learning: Methods and …, 2002 | 20 | 2002 |
| Intrusion detection in Internet of Things with MQTT protocol—An accurate and interpretable genetic-fuzzy rule-based solution MB Gorzałczany, F Rudziński IEEE Internet of Things Journal 9 (24), 24843-24855, 2022 | 19 | 2022 |
