A framework for qualitative multi-criteria preferences

Wietske Visser*, Reyhan Aydoǧan, Koen V. Hindriks, Catholijn M. Jonker

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

A key challenge in the representation of qualitative, multi-criteria preferences is to find a compact and expressive representation. Various frameworks have been introduced, each of which with its own distinguishing features. In this paper we introduce a new representation framework called qualitative preference systems (QPS), which combines priority, cardinality and conditional preferences. Moreover, the framework incorporates knowledge that serves two purposes: to impose (hard) constraints, but also to define new (abstract) concepts. In short, QPS offers a rich and practical representation for qualitative, multi-criteria preferences.

Original languageEnglish
Title of host publicationICAART 2012 - Proceedings of the 4th International Conference on Agents and Artificial Intelligence
Pages243-248
Number of pages6
Volume1
Publication statusPublished - 15 Jun 2012
Externally publishedYes
Event4th International Conference on Agents and Artificial Intelligence, ICAART 2012 - Vilamoura, Algarve, Portugal
Duration: 6 Feb 20128 Feb 2012

Conference

Conference4th International Conference on Agents and Artificial Intelligence, ICAART 2012
CountryPortugal
CityVilamoura, Algarve
Period6/02/128/02/12

Keywords

  • Qualitative multi-criteria preferences

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