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Complexity of computing median linear orders and variants
Institution:1. Norwegian University of Science and Technology (NTNU), Department of Architectural Design, History and Technology, Trondheim, Norway;2. Norwegian University of Science and Technology (NTNU), Department of Energy and Process Engineering, Trondheim, Norway;1. Business School, Shenzhen Technology University, China;2. Federation Business School, Federation University, Australia
Abstract:Given a finite set X and a collection Π of linear orders defined on X, computing a median linear order (Condorcet-Kemenyʼs problem) consists in determining a linear order minimizing the remoteness from Π. This remoteness is based on the symmetric distance, and measures the number of disagreements between O and Π. In the context of voting theory, X can be considered as a set of candidates and the linear orders of Π as the preferences of voters, while a linear order minimizing the remoteness from Π can be adopted as the collective ranking of the candidates with respect to the votersʼ opinions. This paper studies the complexity of this problem and of several variants of it: computing a median order, computing a winner according to this method, checking that a given candidate is a winner and so on. We try to locate these problems inside the polynomial hierarchy.
Keywords:Complexity  Turing transformation  NP-completeness  NP-hardness  polynomial hierarchy  linear order  Condorcet-Kemeny problem  Slater problem  voting theory  pairwise comparison method  median order  linear ordering problem  feedback arc set  majority tournament
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