We study the problem of fairly allocating a set of indivisible goods to multiple agents and focus on the proportionality, which is one of the classical fairness notions. Since proportional allocations do not always exist when goods are indivisible, approximate concepts of proportionality have been considered in the previous work. Among them, proportionality up to the maximin good (PROPm) has been the best approximate notion of proportionality that can be achieved for all instances. In this paper, we introduce the notion of proportionality up to the least valued good on average (PROPavg), which is a stronger notion than PROPm, and show that a PROPavg allocation always exists for all instances and can be computed in polynomial time. %% for all instances. Our results establish PROPavg as a notable non-trivial fairness notion that can be achieved for all instances. Our proof is constructive, and based on a new technique that generalizes the cut-and-choose protocol and uses a recursive technique.
翻译:我们研究了将一组不可分商品公平分配给多个代理的问题,并关注比例性,这是经典公平原则之一。由于当商品不可分时,比例性分配并不总是存在,因此以前的研究已经考虑了近似概念的比例性。其中,比例性直到最小化平均的商品(PROPavg)是目前为止可以在所有实例中实现的最佳近似比例性。在本文中,我们介绍了比例性直到平均情况下最不有价值的商品(PROPavg)的概念,这是比PROPm更强的概念,并证明了PROPavg分配在所有实例中都存在,并且可以在多项式时间内计算。我们的结果将PROPavg确定为一个重要的非平凡公平概念,可以在所有实例中实现。我们的证明是构造性的,并基于一种新的技术,它推广了切割-选择协议并使用递归技术。