Weighted majority tournaments and Kemeny ranking with 2-dimensional Euclidean preferences
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Abstract (arXiv)
The assumption that voters' preferences share some common structure is a standard way to circumvent NP-hardness results in social choice problems. While the Kemeny ranking problem is NP-hard in the general case, it is known to become easy if the preferences are 1-dimensional Euclidean. In this note, we prove that the Kemeny ranking problem remains NP-hard for k-dimensional Euclidean preferences with k!≥!2 under norms ℓ1, ℓ2 and ℓ_∞, by showing that any weighted tournament (resp. weighted bipartite tournament) with weights of same parity (resp. even weights) is inducible as the weighted majority tournament of a profile of 2-Euclidean preferences under norm ℓ2 (resp. ℓ1,ℓ∞), computable in polynomial time. More generally, this result regarding weighted tournaments implies, essentially, that hardness results relying on the (weighted) majority tournament that hold in the general case (e.g., NP-hardness of Slater ranking) are still true for 2-dimensional Euclidean preferences.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 1 of its 22 references that are in the map. First posted on arXiv 24 Jun 2021.
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References · 1
- 2016Recognising Multidimensional Euclidean Preferencescited by 3
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Citing papers per year: 2025: 1.
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