The Maximin Support Method: An Extension of the D'Hondt Method to Approval-Based Multiwinner Elections
Abstract
We propose the maximin support method, a novel extension of the D'Hondt apportionment method to approval-based multiwinner elections. The maximin support method is a sequential procedure that aims to maximize the support of the least supported elected candidate. It can be computed efficiently and satisfies (adjusted versions of) the main properties of the original D'Hondt method: house monotonicity, population monotonicity, and proportional representation. We also establish a close relationship between the maximin support method and alternative D'Hondt extensions due to Phragmén.
Cite
Text
Fernández et al. "The Maximin Support Method: An Extension of the D'Hondt Method to Approval-Based Multiwinner Elections." AAAI Conference on Artificial Intelligence, 2021. doi:10.1609/AAAI.V35I6.16714Markdown
[Fernández et al. "The Maximin Support Method: An Extension of the D'Hondt Method to Approval-Based Multiwinner Elections." AAAI Conference on Artificial Intelligence, 2021.](https://mlanthology.org/aaai/2021/fernandez2021aaai-maximin/) doi:10.1609/AAAI.V35I6.16714BibTeX
@inproceedings{fernandez2021aaai-maximin,
title = {{The Maximin Support Method: An Extension of the D'Hondt Method to Approval-Based Multiwinner Elections}},
author = {Fernández, Luis Sánchez and García, Norberto Fernández and Fisteus, Jesús A. and Brill, Markus},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2021},
pages = {5690-5697},
doi = {10.1609/AAAI.V35I6.16714},
url = {https://mlanthology.org/aaai/2021/fernandez2021aaai-maximin/}
}