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
9 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