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A measure-theoretic foundation for data quality

Antoon Bronselaer (UGent) , Robin De Mol (UGent) and Guy De Tré (UGent)
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Keywords
Data quality, fuzzy measure, uncertainty modeling

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Citation

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

Chicago
Bronselaer, Antoon, Robin De Mol, and Guy De Tré. 2018. “A Measure-theoretic Foundation for Data Quality.” Ieee Transactions on Fuzzy Systems 26 (2): 627–639.
APA
Bronselaer, A., De Mol, R., & De Tré, G. (2018). A measure-theoretic foundation for data quality. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 26(2), 627–639.
Vancouver
1.
Bronselaer A, De Mol R, De Tré G. A measure-theoretic foundation for data quality. IEEE TRANSACTIONS ON FUZZY SYSTEMS. Institute of Electrical and Electronics Engineers (IEEE); 2018;26(2):627–39.
MLA
Bronselaer, Antoon, Robin De Mol, and Guy De Tré. “A Measure-theoretic Foundation for Data Quality.” IEEE TRANSACTIONS ON FUZZY SYSTEMS 26.2 (2018): 627–639. Print.
@article{8559687,
  author       = {Bronselaer, Antoon and De Mol, Robin and De Tré, Guy},
  issn         = {1063-6706},
  journal      = {IEEE TRANSACTIONS ON FUZZY SYSTEMS},
  keywords     = {Data quality,fuzzy measure,uncertainty modeling},
  language     = {eng},
  number       = {2},
  pages        = {627--639},
  publisher    = {Institute of Electrical and Electronics Engineers (IEEE)},
  title        = {A measure-theoretic foundation for data quality},
  url          = {http://dx.doi.org/10.1109/tfuzz.2017.2686807},
  volume       = {26},
  year         = {2018},
}

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