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Record link: 
http://hdl.handle.net/20.500.12708/57490
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Title: 
A Quantitative Analysis of Multi-Winner Rules
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Citation: 
Lackner, M., & Skowron, P. (2018). A Quantitative Analysis of Multi-Winner Rules. In Proceedings of the 7th International Workshop on Computational Social Choice (COMSOC 2018) (pp. 1–29). Computing Research Repository (CoRR). http://hdl.handle.net/20.500.12708/57490
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Authors: 
Lackner, Martin 
Skowron, Piotr 
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Organisational Unit: 
E192-02 - Forschungsbereich Databases and Artificial Intelligence 
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Published in: 
Proceedings of the 7th International Workshop on Computational Social Choice (COMSOC 2018) 
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Date (published): 
2018
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Number of Pages: 
29
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Publisher: 
Computing Research Repository (CoRR)
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Peer reviewed: 
Yes
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Abstract: 
To choose a suitable multi-winner rule, i.e., a voting rule for selecting a subset of k alternatives based on a collection of preferences, is a hard and ambiguous task. Depending on the context, it varies widely what constitutes the choice of an "optimal" subset. In this paper, we offer a new perspective to measure the quality of such subsets and---consequently---multi-winner rul...
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Project title: 
Fixed-Parameter Tractability in Artificial Intelligence and Reasoning (FAIR): P25518-N23 (Fonds zur Förderung der wissenschaftlichen Forschung (FWF)) 
START: Y 698-N23 (Fonds zur Förderung der wissenschaftlichen Forschung (FWF)) 
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Research Areas: 
außerhalb der gesamtuniversitären Forschungsschwerpunkte: 100%
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Science Branch: 
Informatik
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Appears in Collections:
Conference Paper

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