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Weight selection strategies for ordered weighted average based fuzzy rough sets

(2019) INFORMATION SCIENCES. 501. p.155-171
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Keywords
AGGREGATION OPERATORS, IMBALANCED DATA, CLASSIFICATION, Fuzzy rough set theory, Ordered weighted average, Meta-learning

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Citation

Please use this url to cite or link to this publication:

MLA
Vluymans, Sarah, et al. “Weight Selection Strategies for Ordered Weighted Average Based Fuzzy Rough Sets.” INFORMATION SCIENCES, vol. 501, 2019, pp. 155–71.
APA
Vluymans, S., Mac Parthalain, N., Cornelis, C., & Saeys, Y. (2019). Weight selection strategies for ordered weighted average based fuzzy rough sets. INFORMATION SCIENCES, 501, 155–171.
Chicago author-date
Vluymans, Sarah, Neil Mac Parthalain, Chris Cornelis, and Yvan Saeys. 2019. “Weight Selection Strategies for Ordered Weighted Average Based Fuzzy Rough Sets.” INFORMATION SCIENCES 501: 155–71.
Chicago author-date (all authors)
Vluymans, Sarah, Neil Mac Parthalain, Chris Cornelis, and Yvan Saeys. 2019. “Weight Selection Strategies for Ordered Weighted Average Based Fuzzy Rough Sets.” INFORMATION SCIENCES 501: 155–171.
Vancouver
1.
Vluymans S, Mac Parthalain N, Cornelis C, Saeys Y. Weight selection strategies for ordered weighted average based fuzzy rough sets. INFORMATION SCIENCES. 2019;501:155–71.
IEEE
[1]
S. Vluymans, N. Mac Parthalain, C. Cornelis, and Y. Saeys, “Weight selection strategies for ordered weighted average based fuzzy rough sets,” INFORMATION SCIENCES, vol. 501, pp. 155–171, 2019.
@article{8628742,
  author       = {{Vluymans, Sarah and Mac Parthalain, Neil and Cornelis, Chris and Saeys, Yvan}},
  issn         = {{0020-0255}},
  journal      = {{INFORMATION SCIENCES}},
  keywords     = {{AGGREGATION OPERATORS,IMBALANCED DATA,CLASSIFICATION,Fuzzy rough set theory,Ordered weighted average,Meta-learning}},
  language     = {{eng}},
  pages        = {{155--171}},
  title        = {{Weight selection strategies for ordered weighted average based fuzzy rough sets}},
  url          = {{http://dx.doi.org/10.1016/j.ins.2019.05.085}},
  volume       = {{501}},
  year         = {{2019}},
}

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