Weighted Fairness Notions for Indivisible Items Revisited

Author:

Chakraborty Mithun1ORCID,Segal-Halevi Erel2ORCID,Suksompong Warut3ORCID

Affiliation:

1. University of Michigan, Ann Arbor, United States

2. Ariel University, Ariel, Israel

3. National University of Singapore, Singapore, Singapore

Abstract

We revisit the setting of fairly allocating indivisible items when agents have different weights representing their entitlements. First, we propose a parameterized family of relaxations for weighted envy-freeness and the same for weighted proportionality; the parameters indicate whether smaller-weight or larger-weight agents are given a higher priority. We show that each notion in these families can always be satisfied, but any two cannot necessarily be fulfilled simultaneously. We then introduce an intuitive weighted generalization of maximin share fairness and establish the optimal approximation of it that can be guaranteed. Furthermore, we characterize the implication relations between the various weighted fairness notions introduced in this and prior work, and relate them to the lower and upper quota axioms from apportionment.

Funder

Israel Science Foundation

Singapore Ministry of Education

Publisher

Association for Computing Machinery (ACM)

Reference71 articles.

1. Martin Aleksandrov, Haris Aziz, Serge Gaspers, and Toby Walsh. 2015. Online fair division: Analysing a food bank problem. In Proceedings of the 24th International Joint Conference on Artificial Intelligence. 2540–2546.

2. The Moral Machine experiment

3. Fair allocation of indivisible goods and chores

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