Fuzzy neighborhood operators based on fuzzy coverings L D'eer, C Cornelis, L Godo Fuzzy Sets and Systems 312, 17-35, 2017 | 167 | 2017 |
Neighborhood operators for covering-based rough sets L D’eer, M Restrepo, C Cornelis, J Gómez Information Sciences 336, 21-44, 2016 | 102 | 2016 |
A comprehensive study of fuzzy covering-based rough set models: Definitions, properties and interrelationships L D'eer, C Cornelis Fuzzy Sets and Systems 336, 1-26, 2018 | 101 | 2018 |
A comprehensive study of implicator–conjunctor-based and noise-tolerant fuzzy rough sets: definitions, properties and robustness analysis L D'eer, N Verbiest, C Cornelis, L Godo Fuzzy Sets and Systems 275, 1-38, 2015 | 96 | 2015 |
Applications of fuzzy rough set theory in machine learning: a survey S Vluymans, L D’eer, Y Saeys, C Cornelis Fundamenta Informaticae 142 (1-4), 53-86, 2015 | 84 | 2015 |
A semantically sound approach to Pawlak rough sets and covering-based rough sets L D'eer, C Cornelis, Y Yao International Journal of Approximate Reasoning 78, 62-72, 2016 | 45 | 2016 |
Implicator-conjunctor based models of fuzzy rough sets: definitions and properties L D’eer, N Verbiest, C Cornelis, L Godo Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing: 14th …, 2013 | 15 | 2013 |
Notes on covering-based rough sets from topological point of view: Relationships with general framework of dual approximation operators L D'eer, C Cornelis International Journal of Approximate Reasoning 88, 295-305, 2017 | 10 | 2017 |
Decision reducts and bireducts in a covering approximation space and their relationship to set definability L D'eer, C Cornelis International Journal of Approximate Reasoning 109, 42-54, 2019 | 8 | 2019 |
Fuzzy covering based rough sets revisited L D’eer, C Cornelis, D Sánchez 2015 Conference of the International Fuzzy Systems Association and the …, 2015 | 7 | 2015 |
A semantical and computational approach to covering-based rough sets L D'eer Ghent University, 2017 | 4 | 2017 |
A semantical approach to rough sets and dominance-based rough sets L D’eer, C Cornelis, Y Yao Information Processing and Management of Uncertainty in Knowledge-Based …, 2016 | 4 | 2016 |
New neighborhood based rough sets L D’eer, C Cornelis Rough Sets and Knowledge Technology: 10th International Conference, RSKT …, 2015 | 4 | 2015 |
Improving the β-Precision and OWA Based Fuzzy Rough Set Models: Definitions, Properties and Robustness Analysis L D’eer, N Verbiest Rough Sets and Current Trends in Computing: 9th International Conference …, 2014 | 2 | 2014 |
Towards graph-based forecasting with attention for real-world restaurant sales HD Moura, L Kholkine, L D’eer, K Mets, T De Schepper 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 560-569, 2023 | 1 | 2023 |
GPI-tree search: algorithms for decision-time planning with the general policy improvement theorem L Bagot, L D'eer, S Latré, T De Schepper, K Mets Adaptive and Learning Agents Workshop (ALA), collocated with AAMAS, 29-30 …, 2023 | 1 | 2023 |
Modelos de conjuntos rugosos difusos tolerantes al ruido: definiciones y propiedades L D'eer, N Verbiest, C Cornelis, L Godo | 1 | 2014 |
Performance of an End-to-End Inventory Demand Forecasting Pipeline Using a Federated Data Ecosystem HD Moura, E de Vleeschauwer, G Haesendonck, B De Meester, L D’eer, ... Engineering Proceedings 68 (1), 33, 2024 | | 2024 |
A fuzzy rough set model based on implicators and conjunctors L D’eer, N Verbiest, C Cornelis, L Godo bstracts, 39, 2014 | | 2014 |