Computer Simulation of Multi-optional Decisions

BOLUN, Ion; COSTAS, Alexandru

dc.contributor.author	BOLUN, Ion
dc.contributor.author	COSTAS, Alexandru
dc.date.accessioned	2021-12-01T12:27:42Z
dc.date.available	2021-12-01T12:27:42Z
dc.date.issued	2015
dc.identifier.citation	BOLUN, Ion, COSTAS, Alexandru. Computer Simulation of Multi-optional Decisions. In: Workshop on Foundations of Informatics: proc., 24-29 aug. 2015, Chișinău, Republica Moldova, 2015, pp. 342-360. ISBN 978-9975-4237-3-1.	en_US
dc.identifier.isbn	978-9975-4237-3-1
dc.identifier.uri	http://repository.utm.md/handle/5014/18231
dc.description.abstract	The formula for the estimation of average disproportion of seats allocation using Hamilton method is obtained. It is shown that, by proportionality of voters’ will representation in the final multi-optional decision, the best from the d’Hondt, HuntingtonHill and Sainte-Lagu¨e methods, is the last one. Also, the use of Sainte-Lagu¨e method is easier than that of complemented Webster method. Moreover, the proposed monotone adapted SainteLagu¨e method is considerably better than the Huntington-Hill one. So, for apportionment in the United States Congress House of Representatives, the adapted Sainte-Lagu¨e method is more convenient than the used from 1941 year Huntington-Hill method.	en_US
dc.language.iso	en	en_US
dc.publisher	Institutul de Matematică şi Informatică al AŞM	en_US
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 United States	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.subject	disproportionality	en_US
dc.subject	computer simulation	en_US
dc.title	Computer Simulation of Multi-optional Decisions	en_US
dc.type	Article	en_US