Preference orders on families of sets - When can impossibility results be avoided?

Jan Maly, Miroslaw Truszczynski, Stefan Woltran

Publication: Chapter in book/Conference proceedingContribution to conference proceedings

Abstract

Lifting a preference order on elements of some universe to a preference order on subsets of this universe is often guided by postulated properties the lifted order should have. Well-known impossibility results pose severe limits on when such liftings exist if all non-empty subsets of the universe are to be ordered. The extent to which these negative results carry over to other families of sets is not known. In this paper, we consider families of sets that induce connected subgraphs in graphs. For such families, common in applications, we study whether lifted orders satisfying the well-studied axioms of dominance and (strict) independence exist for every or, in another setting, only for some underlying order on elements (strong and weak orderability). We characterize families that are strongly and weakly orderable under dominance and strict independence, and obtain a tight bound on the class of families that are strongly orderable under dominance and independence.

Original languageEnglish
Title of host publicationProceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018)
Subtitle of host publicationStockholm, 13-19 July 2018
EditorsJérôme Lang
PublisherIJCAI
Pages433-439
Number of pages7
ISBN (Electronic)978-0-9992411-2-7
DOIs
Publication statusPublished - 2018
Externally publishedYes
Event27th International Joint Conference on Artificial Intelligence, IJCAI 2018 - Stockholm, Sweden
Duration: 13 Jul 201819 Jul 2018

Publication series

SeriesIJCAI International Joint Conference on Artificial Intelligence
ISSN1045-0823

Conference

Conference27th International Joint Conference on Artificial Intelligence, IJCAI 2018
Country/TerritorySweden
CityStockholm
Period13/07/1819/07/18

Bibliographical note

Publisher Copyright:
© 2018 International Joint Conferences on Artificial Intelligence. All right reserved.

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