Recognizing when a preference system is close to admitting a master list
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A preference system ℐ is an undirected graph where vertices have preferences over their neighbors, and ℐ admits a master list if all preferences can be derived from a single ordering over all vertices. We study the problem of deciding whether a given preference system ℐ is close to admitting a master list based on three different distance measures. We determine the computational complexity of the following questions: can ℐ be modified by (i) k swaps in the preferences, (ii) k edge deletions, or (iii) k vertex deletions so that the resulting instance admits a master list? We investigate these problems in detail from the viewpoint of parameterized complexity and of approximation. We also present two applications related to stable and popular matchings.
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