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Choquet integral for record linkage

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  • Daniel Abril
  • Guillermo Navarro-Arribas
  • Vicenç Torra

Abstract

Record linkage is used in data privacy to evaluate the disclosure risk of protected data. It models potential attacks, where an intruder attempts to link records from the protected data to the original data. In this paper we introduce a novel distance based record linkage, which uses the Choquet integral to compute the distance between records. We use a fuzzy measure to weight each subset of variables from each record. This allows us to improve standard record linkage and provide insightful information about the re-identification risk of each variable and their interaction. To do that, we use a supervised learning approach which determines the optimal fuzzy measure for the linkage. Copyright Springer Science+Business Media, LLC 2012

Suggested Citation

  • Daniel Abril & Guillermo Navarro-Arribas & Vicenç Torra, 2012. "Choquet integral for record linkage," Annals of Operations Research, Springer, vol. 195(1), pages 97-110, May.
    • Handle: RePEc:spr:annopr:v:195:y:2012:i:1:p:97-110:10.1007/s10479-011-0989-x
    DOI: 10.1007/s10479-011-0989-x
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    Cited by:

    1. Tiexin Wang & Sebastien Truptil & Frederick Benaben, 0. "An automatic model-to-model mapping and transformation methodology to serve model-based systems engineering," Information Systems and e-Business Management, Springer, vol. 0, pages 1-54.
    2. Tiexin Wang & Sebastien Truptil & Frederick Benaben, 2017. "An automatic model-to-model mapping and transformation methodology to serve model-based systems engineering," Information Systems and e-Business Management, Springer, vol. 15(2), pages 323-376, May.
    3. Torra, Vicenç, 2023. "The transport problem for non-additive measures," European Journal of Operational Research, Elsevier, vol. 311(2), pages 679-689.
    4. David Koloseni & Tove Helldin & Vicenç Torra, 2020. "AHP-Like Matrices and Structures—Absolute and Relative Preferences," Mathematics, MDPI, vol. 8(5), pages 1-12, May.

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