Theo dõi
Paweł Bujnowski
Paweł Bujnowski
Samsung R&D Institute Poland; Systems Research Institute of Polish Academy of Sciences
Email được xác minh tại samsung.com
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
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
1982014
Cooperation in aspiration-based -person prisoner’s dilemmas
T Płatkowski, P Bujnowski
Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 79 (3 …, 2009
272009
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
212011
Intuitionistic fuzzy decision trees-a new approach
P Bujnowski, E Szmidt, J Kacprzyk
Artificial Intelligence and Soft Computing: 13th International Conference …, 2014
202014
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
182012
Intuitionistic fuzzy decision tree: a new classifier
P Bujnowski, E Szmidt, J Kacprzyk
Intelligent Systems' 2014: Proceedings of the 7th IEEE International …, 2015
172015
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
142020
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
122021
Pearson’s coefficient between intuitionistic fuzzy sets
E Szmidt, J Kacprzyk, P Bujnowski
Notes on Intuitionistic Fuzzy Sets 17 (2), 25-34, 2011
122011
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
112020
On some measures of information and knowledge for intuitionistic fuzzy sets
E Szmidt, J Kacprzyk, P Bujnowski
Notes on Intuitionistic Fuzzy Sets 16 (2), 1-11, 2010
112010
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
82012
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
72022
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
72015
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
62018
Similarity measures for Atanassov’s intuitionistic fuzzy sets: some dilemmas and challenges
E Szmidt, J Kacprzyk, P Bujnowski
Control and Cybernetics 51 (2), 249-266, 2022
52022
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
42020
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
42017
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
42010
Ranking of alternatives described by atanassov’s intuitionistic fuzzy sets–reconciling some misunderstandings
E Szmidt, J Kacprzyk, P Bujnowski, JT Starczewski, A Siwocha
Journal of Artificial Intelligence and Soft Computing Research 14 (3), 237-250, 2024
32024
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