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Some Complexity Results for Distance-Based Judgment Aggregation

机译:基于距离的判断集合的一些复杂性结果

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Judgment aggregation is a social choice method for aggregating information on logically related issues. In distance-based judgment aggregation, the collective opinion is sought as a compromise between information sources that satisfies several structural properties. It would seem that the standard conditions on distance and aggregation functions are strong enough to guarantee existence of feasible procedures. In this paper, we show that it is not the case, though the problem becomes easier under some additional assumptions.
机译:判断汇总是一种用于汇总逻辑上相关问题的信息的社会选择方法。在基于距离的判断汇总中,寻求集体意见是满足多个结构属性的信息源之间的折衷。似乎距离和聚合函数的标准条件足够强大,可以保证存在可行的程序。在本文中,我们表明情况并非如此,尽管在某些其他假设下问题变得更加容易。

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