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Many-to-One Popular Matchings with Two-Sided Preferences and One-Sided Ties

机译:具有两面偏好和一面关系的多对一热门匹配

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We consider the problem of assigning applicants to posts when each applicant has a strict preference ordering over a subset of posts, and each post has all its neighbors in a single tie. That is, a post is indifferent amongst all its neighbours. Each post has a capacity denoting the maximum number of applicants that can be assigned to it. An assignment M, referred to as a matching, is said to be popular, if there is no other assignment M' such that the number of votes M' gets compared to M is more than the number of votes M gets compared to M'. Here votes are cast by applicants and posts for comparing M and M'. An applicant a votes for M over M' if a gets a more preferred partner in M than in A/'. A post p votes for M over M' if p gets more applicants assigned to it in M than in M'. The number of votes a post p casts gives rise to two models. Let M(p) denote the set of applicants p gets in M. If |M(p)| > |M'(p)|, p can cast |M(p)| - |M'(p)|-many votes in favor of M, or just one vote. The two models are referred to as the multi-vote model and one-vote model in this paper. We give a polynomial-time algorithm to determine the existence of a popular matching in the multi-vote model, and to output one if it exists. We give interesting connections between the two models. In particular, we show that a matching that is popular in the one-vote model is also popular in the multi-vote model, however the converse is not true. We also give a polynomial-time algorithm to check if a given matching is popular in the one-vote model, and if not, then output a more popular matching.
机译:当每个申请人对某个职位的子集都有严格的优先顺序,并且每个职位的所有邻居都在一条领带中时,我们考虑将其分配给职位的问题。也就是说,一个职位在所有邻居中都无关紧要。每个职位的能力表示可以分配给它的最大申请人数。如果不存在其他分配M',使得与M相比较的票数M'大于与M'相比较的票数M,则称为匹配的分配M很受欢迎。在这里,投票者由申请人和职位进行比较M和M'。如果申请人在M中比在A /'中获得更喜欢的合伙人,则对M'投票赞成M。如果p在M中分配给它的申请人数多于M',则职位p对M投票赞成M'。职位投下的票数产生了两种模式。令M(p)表示申请者的集合p进入M。如果| M(p)| > | M'(p)|,p可以强制转换| M(p)| -| M'(p)|-很多票赞成M,或者只有一票。本文将这两种模型称为多票模型和一票模型。我们给出了多项式时间算法来确定多投票模型中是否存在流行匹配,如果存在则输出该匹配。我们在两个模型之间给出了有趣的联系。特别是,我们证明了在单票模型中流行的匹配在多票模型中也流行,但是事实并非如此。我们还提供了多项式时间算法来检查给定的匹配在单票模型中是否流行,如果不流行,则输出更流行的匹配。

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