Abstract
We consider aggregation of partially known qualitative preferences for a group of agents, considering necessary and potentially optimal choices with respect to different notions of optimality (consensus, extreme choices, Pareto optimality) and provide a theoretical characterization. We report statistics (obtained with simulations with synthetic data) about the cardinality of the sets of possible and necessarily optimal choices for the different cases. Finally we introduce preliminary ideas on a qualitative notion of fairness and on interactive elicitation.
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Viappiani, P. (2014). Aggregation of Uncertain Qualitative Preferences for a Group of Agents. In: Laurent, A., Strauss, O., Bouchon-Meunier, B., Yager, R.R. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2014. Communications in Computer and Information Science, vol 443. Springer, Cham. https://doi.org/10.1007/978-3-319-08855-6_44
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DOI: https://doi.org/10.1007/978-3-319-08855-6_44
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08854-9
Online ISBN: 978-3-319-08855-6
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