Majority-approval social choice

Barokas, Guy

doi:10.1016/j.jmp.2022.102694

Journal of Mathematical Psychology

2022

DOI: 10.1016/j.jmp.2022.102694

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Majority-approval social choice

Guy Barokas

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2023

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Cited by 3 publications

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Clustering alternatives in preference-approvals via novel pseudometrics

Albano,

García-Lapresta,

Plaia

et al. 2023

Stat Methods Appl

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Preference-approval structures combine preference rankings and approval voting for declaring opinions over a set of alternatives. In this paper, we propose a new procedure for clustering alternatives in order to reduce the complexity of the preference-approval space and provide a more accessible interpretation of data. To that end, we present a new family of pseudometrics on the set of alternatives that take into account voters’ preferences via preference-approvals. To obtain clusters, we use the Ranked k-medoids (RKM) partitioning algorithm, which takes as input the similarities between pairs of alternatives based on the proposed pseudometrics. Finally, using non-metric multidimensional scaling, clusters are represented in 2-dimensional space.

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Clustering alternatives in preference-approvals via novel pseudometrics

Albano,

García-Lapresta,

Plaia

et al. 2023

Stat Methods Appl

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A non-lexicographic rule in the preference-approval setting

Barokas

2023

Economics Letters

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Multi-criteria group decision making with preference approval structures: A personalized individual semantics approach

Liu

Jiang

et al. 2023

Information Fusion

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Majority-approval social choice

Cited by 3 publications

References 16 publications

Clustering alternatives in preference-approvals via novel pseudometrics

Clustering alternatives in preference-approvals via novel pseudometrics

A non-lexicographic rule in the preference-approval setting

Multi-criteria group decision making with preference approval structures: A personalized individual semantics approach

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