A comprehensive study of implicator-conjunctor based and noise-tolerant fuzzy rough sets: definitions, properties and robustness analysis
- Author
- Lynn D'eer (UGent) , Nele Verbiest (UGent) , Chris Cornelis (UGent) and Lluís Godo
- Organization
- Keywords
- SIMILARITY RELATIONS, MODEL, APPROXIMATION OPERATORS, NORM-BASED LOGIC, AGGREGATION, SELECTION, Noise-tolerance, Rough sets, Fuzzy sets, Lower and upper approximation, Hybridization
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-5988314
- MLA
- D’eer, Lynn, et al. “A Comprehensive Study of Implicator-Conjunctor Based and Noise-Tolerant Fuzzy Rough Sets: Definitions, Properties and Robustness Analysis.” FUZZY SETS AND SYSTEMS, vol. 275, 2015, pp. 1–38, doi:10.1016/j.fss.2014.11.018.
- APA
- D’eer, L., Verbiest, N., Cornelis, C., & Godo, L. (2015). A comprehensive study of implicator-conjunctor based and noise-tolerant fuzzy rough sets: definitions, properties and robustness analysis. FUZZY SETS AND SYSTEMS, 275, 1–38. https://doi.org/10.1016/j.fss.2014.11.018
- Chicago author-date
- D’eer, Lynn, Nele Verbiest, Chris Cornelis, and Lluís Godo. 2015. “A Comprehensive Study of Implicator-Conjunctor Based and Noise-Tolerant Fuzzy Rough Sets: Definitions, Properties and Robustness Analysis.” FUZZY SETS AND SYSTEMS 275: 1–38. https://doi.org/10.1016/j.fss.2014.11.018.
- Chicago author-date (all authors)
- D’eer, Lynn, Nele Verbiest, Chris Cornelis, and Lluís Godo. 2015. “A Comprehensive Study of Implicator-Conjunctor Based and Noise-Tolerant Fuzzy Rough Sets: Definitions, Properties and Robustness Analysis.” FUZZY SETS AND SYSTEMS 275: 1–38. doi:10.1016/j.fss.2014.11.018.
- Vancouver
- 1.D’eer L, Verbiest N, Cornelis C, Godo L. A comprehensive study of implicator-conjunctor based and noise-tolerant fuzzy rough sets: definitions, properties and robustness analysis. FUZZY SETS AND SYSTEMS. 2015;275:1–38.
- IEEE
- [1]L. D’eer, N. Verbiest, C. Cornelis, and L. Godo, “A comprehensive study of implicator-conjunctor based and noise-tolerant fuzzy rough sets: definitions, properties and robustness analysis,” FUZZY SETS AND SYSTEMS, vol. 275, pp. 1–38, 2015.
@article{5988314,
author = {{D'eer, Lynn and Verbiest, Nele and Cornelis, Chris and Godo, Lluís}},
issn = {{0165-0114}},
journal = {{FUZZY SETS AND SYSTEMS}},
keywords = {{SIMILARITY RELATIONS,MODEL,APPROXIMATION OPERATORS,NORM-BASED LOGIC,AGGREGATION,SELECTION,Noise-tolerance,Rough sets,Fuzzy sets,Lower and upper approximation,Hybridization}},
language = {{eng}},
pages = {{1--38}},
title = {{A comprehensive study of implicator-conjunctor based and noise-tolerant fuzzy rough sets: definitions, properties and robustness analysis}},
url = {{http://doi.org/10.1016/j.fss.2014.11.018}},
volume = {{275}},
year = {{2015}},
}
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