Fair Orientations: Proportionality and Equitability
Ankang Sun, Ruijie Wang, Bo Li

TL;DR
This paper explores fair allocation methods for indivisible items with relevance constraints, extending fairness criteria beyond envy-freeness to include proportionality and equitability, and analyzes their existence and computational complexity.
Contribution
It introduces fairness criteria like proportionality and equitability under relevance constraints, and studies their existence and computational complexity in diverse settings.
Findings
Existence results for proportionality and equitability under relevance constraints.
Complexity classifications for computing fair allocations.
Extensions to settings with goods, chores, or mixed items.
Abstract
We study the fair allocation of indivisible items under relevance constraints, where each agent has a set of relevant items and can only receive items that are relevant to them. While the relevance constraint has been studied in recent years, existing work has largely focused on envy-freeness. Our work extends this study to other key fairness criteria -- such as proportionality, equitability, and their relaxations -- in settings where the items may be goods, chores, or a mixture of both. We complement the literature by presenting a picture of the existence and computational complexity of the considered criteria.
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Taxonomy
TopicsGame Theory and Voting Systems · Auction Theory and Applications · Ethics and Social Impacts of AI
