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

Autor:	Markus Brill, Jesus Arias Fisteus, Luis Sanchez-Fernandez, Norberto Fernández
Rok vydání:	2022
Předmět:	FOS: Computer and information sciences I.2.11 Computer Science - Computer Science and Game Theory General Mathematics General Medicine Software Computer Science and Game Theory (cs.GT)
Zdroj:	Mathematical Programming.
ISSN:	1436-4646 0025-5610
DOI:	10.1007/s10107-022-01805-8
Popis:	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 Phragmén.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c90b569a822da2c65c3008636fe5354e https://doi.org/10.1007/s10107-022-01805-8 Zobrazit plný text záznamu Full text from SpringerLink