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A comprehensive study of implicator-conjunctor based and noise-tolerant fuzzy rough sets: definitions, properties and robustness analysis

Lynn D'eer (UGent) , Nele Verbiest (UGent) , Chris Cornelis (UGent) and Lluís Godo
(2015) FUZZY SETS AND SYSTEMS. 275. p.1-38
Author
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:

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 275 (2015): 1–38. Print.
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.
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.
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.
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://dx.doi.org/10.1016/j.fss.2014.11.018},
  volume       = {275},
  year         = {2015},
}

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