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

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dc.contributor Comisión Interministerial de Ciencia y Tecnología, CICYT (España)
dc.creator Torra, Vicenç
dc.date 2007-11-20T13:17:53Z
dc.date 2007-11-20T13:17:53Z
dc.date 1999
dc.date.accessioned 2017-01-31T00:58:51Z
dc.date.available 2017-01-31T00:58:51Z
dc.identifier Mathware and Soft Computing, 1999, 6 (2-3): 249-265.
dc.identifier 1134-5632
dc.identifier http://hdl.handle.net/10261/2244
dc.identifier.uri http://dspace.mediu.edu.my:8181/xmlui/handle/10261/2244
dc.description 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.description The author acknowledges partial support of the CICYT project SMASH (TIC96-1138-C04-04).
dc.description Peer reviewed
dc.language eng
dc.publisher Universidad Politécnica de Cataluña
dc.rights openAccess
dc.subject Learning weights
dc.subject Modeling
dc.subject Aggregation operators
dc.subject Weighted Mean
dc.subject OWA operators
dc.subject WOWA operators
dc.title On the learning of weights in some aggregation operators: the weigthed mean and OWA operators
dc.title Sobre el aprendizaje de pesos en operadores de agregación: la media ponderada y operadores OWA
dc.type Artículo


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