Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/10261/2244
Title: On the learning of weights in some aggregation operators: the weigthed mean and OWA operators
Sobre el aprendizaje de pesos en operadores de agregación: la media ponderada y operadores OWA
Authors: Comisión Interministerial de Ciencia y Tecnología, CICYT (España)
Keywords: Learning weights
Modeling
Aggregation operators
Weighted Mean
OWA operators
WOWA operators
Publisher: Universidad Politécnica de Cataluña
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.
The author acknowledges partial support of the CICYT project SMASH (TIC96-1138-C04-04).
Peer reviewed
URI: http://dspace.mediu.edu.my:8181/xmlui/handle/10261/2244
Other Identifiers: Mathware and Soft Computing, 1999, 6 (2-3): 249-265.
1134-5632
http://hdl.handle.net/10261/2244
Appears in Collections:Digital Csic

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