Publication | Closed Access
The Computational Complexity of Choice Sets
48
Citations
36
References
2009
Year
Choice SetsCollective ChoiceEngineeringComputational Social ChoiceManagementComputational ComplexityVoting RuleComputer ScienceChoice-process DataCombinatorial OptimizationDecision ScienceDecision TheorySocial Choice RulesPreference Aggregation
Abstract Social choice rules are often evaluated and compared by inquiring whether they satisfy certain desirable criteria such as the Condorcet criterion , which states that an alternative should always be chosen when more than half of the voters prefer it over any other alternative. Many of these criteria can be formulated in terms of choice sets that single out reasonable alternatives based on the preferences of the voters. In this paper, we consider choice sets whose definition merely relies on the pairwise majority relation. These sets include the Copeland set , the Smith set , the Schwartz set , von Neumann‐Morgenstern stable sets , the Banks set , and the Slater set . We investigate the relationships between these sets and completely characterize their computational complexity, which allows us to obtain hardness results for entire classes of social choice rules (© 2009 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
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