Publications

Journal: Information Sciences

Number of publications: 15

2025

• Quang-Thinh Bui, Thanh Nha Nguyen, Hung Son Nguyen , Bay Vo, A novel framework for handling uncertainty: Intuitionistic fuzzy rough soft sets, Information Sciences, 2025, p. 122592. See in PBN

2023

• Andrzej Janusz , Dominik Ślęzak , Sebastian Stawicki, Krzysztof Stencel , A practical study of methods for deriving insightful attribute importance rankings using decision bireducts, Information Sciences, 645 2023, p. 119354, 1-19. See in PBN
• Anh Linh Nguyen , Computing the fuzzy partition corresponding to the greatest fuzzy auto-bisimulation of a fuzzy graph-based structure under the Gödel semantics, Information Sciences, 630 2023, p. 482-506. See in PBN

2022

• Patrick Doherty, Andrzej Szałas , A landscape and implementation framework for probabilistic rough sets using ProbLog, Information Sciences, 593 2022, p. 546-576. See in PBN
• Andrzej Janusz , Daniel Kałuża , Maciej Matraszek, Łukasz Grad , Maciej Świechowski, Dominik Ślęzak , Learning multimodal entity representations and their ensembles, with applications in a data-driven advisory framework for video game players, Information Sciences, 617 2022, p. 193-210. See in PBN

2019

• Marek Grzegorowski, Dominik Ślęzak , On resilient feature selection: Computational foundations of r-C-reducts, Information Sciences, 499 2019, p. 25-44. See in PBN
• Piotr Helbin, Michał Baczyński, Przemysław Grzegorzewski, Wanda Niemyska , Some properties of fuzzy implications based on copulas, Information Sciences, 502 2019, p. 1-17. See in PBN

2018

• Dominik Ślęzak , Marek Grzegorowski, Andrzej Janusz , Michał Kozielski, Thi sinh hoa Nguyen, Marek Sikora, Sebastian Stawicki, Łukasz Wróbel, A framework for learning and embedding multi-sensor forecasting models into a decision support system: a case study of methane concentration in coal mines, Information Sciences, 451/452 2018, p. 112-133. See in PBN
• M. José Benítez-Caballero, Jesús Medina, Eloísa Ramírez-Poussa, Dominik Ślęzak , Bireducts with tolerance relations, Information Sciences, 435 2018, p. 26-39. See in PBN

2016

• Michał Baczyński, Przemysław Grzegorzewski, Piotr Helbin, Wanda Niemyska , Properties of the Probabilistic Implications and S-Implications, Information Sciences, 2016. See in PBN

2015

• Ali Rezaei Divroodi, Anh Linh Nguyen , On bisimulations for description logics, Information Sciences, 2015. See in PBN

2014

• Andrzej Janusz , Dominik Ślęzak , José Manuel Benítez, Christoph Bergmeir, Chris Cornelis, Francisco Herrera, Lala Septem Riza, Implementing algorithms of rough set theory and fuzzy rough set theory in the R package “RoughSets”, Information Sciences, 287 2014, p. 68-89. See in PBN
• Alfredo Cuzzocrea, Jerzy Stefanowski, Dominik Ślęzak , Processing and mining complex data streams, Information Sciences, 2014. See in PBN

2010

• Chris Cornelis, Richard Jensen, Germán Hurtado Martín, Dominik Ślęzak , Attribute selection with fuzzy decision reducts, Information Sciences, 2010. See in PBN

2009

• Chris Cornelis, German Hurtado, Richard Jensen, Dominik Ślęzak , Attribute selection with fuzzy decision reducts, Information Sciences, 2009. See in PBN