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Dostęp zamkniętyMulti-attribute proportional representation
| cris.lastimport.scopus | 2024-02-12T19:57:43Z |
| dc.abstract.en | We consider the following problem in which a given number of items has to be chosen from a predefined set. Each item is described by a vector of attributes and for each attribute there is a desired distribution that the selected set should have. We look for a set that fits as much as possible the desired distributions on all attributes. An example of application is the choice of members for a representative committee, where candidates are described by attributes such as gender, age and profession, and where we look for a committee that for each attribute offers a certain representation, i.e., a single committee that contains a certain number of young and old people, certain number of men and women, certain number of people with different professions, etc. Another example of application is the selection of a common set of items to be used by a group of users, where items are labelled by attribute values. With a single attribute the problem collapses to the apportionment problem for party-list proportional representation systems (in such a case the value of the single attribute would be a political affiliation of a candidate). We study the properties of the associated subset selection rules, as well as their computational complexity. |
| dc.affiliation | Uniwersytet Warszawski |
| dc.contributor.author | Skowron, Piotr |
| dc.contributor.author | Lang, Jérôme |
| dc.date.accessioned | 2024-01-25T13:05:53Z |
| dc.date.available | 2024-01-25T13:05:53Z |
| dc.date.issued | 2018 |
| dc.description.finance | Nie dotyczy |
| dc.description.volume | 263 |
| dc.identifier.doi | 10.1016/J.ARTINT.2018.07.005 |
| dc.identifier.issn | 0004-3702 |
| dc.identifier.uri | https://repozytorium.uw.edu.pl//handle/item/113048 |
| dc.identifier.weblink | https://www.sciencedirect.com/science/article/pii/S0004370218304089?via%3Dihub |
| dc.language | eng |
| dc.pbn.affiliation | computer and information sciences |
| dc.relation.ispartof | Artificial Intelligence |
| dc.relation.pages | 74-106 |
| dc.rights | ClosedAccess |
| dc.sciencecloud | nosend |
| dc.subject.en | Proportional representation |
| dc.subject.en | Diversity |
| dc.subject.en | Multiwinner elections |
| dc.subject.en | Apportionment |
| dc.subject.en | Recommendation systems |
| dc.subject.en | Algorithms |
| dc.subject.en | Computational complexity |
| dc.subject.en | Approximation algorithms |
| dc.title | Multi-attribute proportional representation |
| dc.type | JournalArticle |
| dspace.entity.type | Publication |