Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/10261/2244
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dc.contributorComisión Interministerial de Ciencia y Tecnología, CICYT (España)-
dc.creatorTorra, Vicenç-
dc.date2007-11-20T13:17:53Z-
dc.date2007-11-20T13:17:53Z-
dc.date1999-
dc.date.accessioned2017-01-31T00:58:51Z-
dc.date.available2017-01-31T00:58:51Z-
dc.identifierMathware and Soft Computing, 1999, 6 (2-3): 249-265.-
dc.identifier1134-5632-
dc.identifierhttp://hdl.handle.net/10261/2244-
dc.identifier.urihttp://dspace.mediu.edu.my:8181/xmlui/handle/10261/2244-
dc.descriptionWe 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.descriptionThe author acknowledges partial support of the CICYT project SMASH (TIC96-1138-C04-04).-
dc.descriptionPeer reviewed-
dc.languageeng-
dc.publisherUniversidad Politécnica de Cataluña-
dc.rightsopenAccess-
dc.subjectLearning weights-
dc.subjectModeling-
dc.subjectAggregation operators-
dc.subjectWeighted Mean-
dc.subjectOWA operators-
dc.subjectWOWA operators-
dc.titleOn the learning of weights in some aggregation operators: the weigthed mean and OWA operators-
dc.titleSobre el aprendizaje de pesos en operadores de agregación: la media ponderada y operadores OWA-
dc.typeArtículo-
Appears in Collections:Digital Csic

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