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Aggregating Preferences Represented by Conditional Preference Networks

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13023))

Abstract

This paper focuses on the task of aggregating preference orders over combinatorial domains, where both the individual and the aggregate preference orders are represented as Conditional Preference Networks (CP-nets). We propose intuitive objective functions for finding an optimal aggregate CP-net, as well as corresponding optimal efficient aggregation algorithms for inputs with certain structural properties.

This work was supported by the Natural Sciences and Engineering Research Council of Canada (NSERC).

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Notes

  1. 1.

    Completeness is a limiting condition to be defined in Sect. 3.

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Ali, A.M.H., Hamilton, H.J., Rayner, E., Yang, B., Zilles, S. (2021). Aggregating Preferences Represented by Conditional Preference Networks. In: Fotakis, D., Ríos Insua, D. (eds) Algorithmic Decision Theory. ADT 2021. Lecture Notes in Computer Science(), vol 13023. Springer, Cham. https://doi.org/10.1007/978-3-030-87756-9_1

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  • DOI: https://doi.org/10.1007/978-3-030-87756-9_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-87755-2

  • Online ISBN: 978-3-030-87756-9

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