On the learning of weights in some aggregation operators: the weighted mean and OWA operators

dc.contributor.author	Torra Ferré, Vicenç
dc.date.accessioned	2007-09-26T08:39:58Z
dc.date.available	2007-09-26T08:39:58Z
dc.date.issued	1999
dc.identifier.issn	1134-5632
dc.identifier.uri	http://hdl.handle.net/2099/3557
dc.description.abstract	We study the determination of weights for two types of aggregation operators: the weighted mean and the OWA operator. We assume that there is at our disposal a set of examples for which the outcome of the aggregation operator is known. In the case of the OWA operator, we compare the results obtained by our method with another one in the literature. We show that the optimal weighting vector is reached with less cost.
dc.format.extent	249-265
dc.language.iso	eng
dc.publisher	Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica
dc.relation.ispartof	Mathware & soft computing . 1999 Vol. 6 Núm. 2 [ -3 ]
dc.rights	Reconeixement-NoComercial-CompartirIgual 3.0 Espanya
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.other	Learning weigths
dc.subject.other	Modelling
dc.subject.other	Aggregation operators
dc.subject.other	Weighted mean
dc.subject.other	OWA operators
dc.subject.other	WOWA operators
dc.title	On the learning of weights in some aggregation operators: the weighted mean and OWA operators
dc.type	Article
dc.subject.lemac	Conjunts, Teoria de
dc.subject.ams	Classificació AMS::03 Mathematical logic and foundations::03E Set theory
dc.rights.access	Open Access

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