The maximin support method: an extension of the D'Hondt method to approval-based multiwinner elections

• 成果类型: Article
• 署名作者: Sanchez-Fernandez, Luis; Fernandez-Garcia, Norberto; Fisteus, Jesus A.; Brill, Markus
• 署名单位: Universidad Carlos III de Madrid; Universidad Carlos III de Madrid; Technical University of Berlin
• 刊物名称: MATHEMATICAL PROGRAMMING
• ISSN/ISSBN: 0025-5610
• DOI: 10.1007/s10107-022-01805-8
• 发表日期: 2024
• 页码: 107-134
• 关键词: rules

摘要

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 voter 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 Phragmen.