How to measure the amount of knowledge conveyed by Atanassov’s intuitionistic fuzzy sets E Szmidt, J Kacprzyk, P Bujnowski Information Sciences 257, 276-285, 2014 | 189 | 2014 |
Cooperation in aspiration-based -person prisoner’s dilemmas T Płatkowski, P Bujnowski Physical Review E 79 (3), 036103, 2009 | 27 | 2009 |
Measuring the amount of knowledge for Atanassov’s intuitionistic fuzzy sets E Szmidt, J Kacprzyk, P Bujnowski International Workshop on Fuzzy Logic and Applications, 17-24, 2011 | 22 | 2011 |
Correlation between intuitionistic fuzzy sets: some conceptual and numerical extensions E Szmidt, J Kacprzyk, P Bujnowski 2012 IEEE International Conference on Fuzzy Systems, 1-7, 2012 | 18 | 2012 |
Intuitionistic fuzzy decision tree: a new classifier P Bujnowski, E Szmidt, J Kacprzyk Intelligent Systems' 2014: Proceedings of the 7th IEEE International …, 2015 | 16 | 2015 |
Intuitionistic fuzzy decision trees-a new approach P Bujnowski, E Szmidt, J Kacprzyk Artificial Intelligence and Soft Computing: 13th International Conference …, 2014 | 16 | 2014 |
Pearson’s coefficient between intuitionistic fuzzy sets E Szmidt, J Kacprzyk, P Bujnowski Notes on Intuitionistic Fuzzy Sets 17 (2), 25-34, 2011 | 12 | 2011 |
Attribute selection for sets of data expressed by intuitionistic fuzzy sets E Szmidt, J Kacprzyk, P Bujnowski 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-7, 2020 | 11 | 2020 |
On some measures of information and knowledge for intuitionistic fuzzy sets E Szmidt, J Kacprzyk, P Bujnowski Notes IFS 16, 1-11, 2010 | 11 | 2010 |
Three term attribute description of Atanassov's Intuitionistic Fuzzy Sets as a basis of attribute selection E Szmidt, J Kacprzyk, P Bujnowski 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2021 | 9 | 2021 |
Attribute selection via Hellwig’s algorithm for Atanassov’s intuitionistic fuzzy sets E Szmidt, J Kacprzyk, P Bujnowski Computational Intelligence and Mathematics for Tackling Complex Problems, 81-90, 2020 | 8 | 2020 |
Advances in principal component analysis for intuitionistic fuzzy data sets E Szmidt, J Kacprzyk, P Bujnowski 2012 6th IEEE International Conference Intelligent Systems, 194-199, 2012 | 8 | 2012 |
Intuitionistic fuzzy decision tree: a new classifier. Intelligent systems’ 2014 P Bujnowski, E Szmidt, J Kacprzyk Proc 7th IEEE Int Conf on Intelligent Systems (IS'2014), September 24–26 …, 2015 | 6 | 2015 |
Affective natural language generation by phrase insertion T Dryjański, P Bujnowski, H Choi, K Podlaska, K Michalski, K Beksa, ... 2018 IEEE International Conference on Big Data (Big Data), 4876-4882, 2018 | 5 | 2018 |
Ranking of Alternatives Described by Atanassov’s Intuitionistic Fuzzy Sets–A Critical Review E Szmidt, J Kacprzyk, P Bujnowski 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-7, 2022 | 4 | 2022 |
An empirical study on multi-task learning for text style transfer and paraphrase generation P Bujnowski, K Ryzhova, H Choi, K Witkowska, J Piersa, T Krumholc, ... Proceedings of the 28th International Conference on Computational …, 2020 | 3 | 2020 |
The Kendall rank correlation between intuitionistic fuzzy sets: an extended analysis E Szmidt, J Kacprzyk, P Bujnowski Soft Computing: State of the Art Theory and Novel Applications, 39-54, 2013 | 3 | 2013 |
Measuring information and knowledge in the context of Atanassov's intuitionistic fuzzy sets E Szmidt, J Kacprzyk, P Bujnowski 2010 10th International Conference on Intelligent Systems Design and …, 2010 | 3 | 2010 |
To what extent can intuitionistic fuzzy options be ranked E Szmidt, K Kacprzyk, P Bujnowski Notes Intuitionistic Fuzzy Sets 28, 193-202, 2022 | 2 | 2022 |
Automatic speech recognition adaptation to the IoT domain dialogue system M Zembrzuski, H Jeon, J Marhula, K Beksa, S Sikorski, T Latkowski, ... Foundations of Intelligent Systems: 23rd International Symposium, ISMIS 2017 …, 2017 | 2 | 2017 |