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Aggregating Preferences Represented by Conditional Preference Networks

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Algorithmic Decision Theory (ADT 2021)

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

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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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  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.

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  • Print ISBN: 978-3-030-87755-2

  • Online ISBN: 978-3-030-87756-9

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