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WRAO and OWA learning using Levenberg-Marquardt and genetic algorithms

Mendis, B Sumudu; Gedeon, Tamas (Tom)


The generalized Weighted Relevance Aggregation Operator (WRAO) is a non-additive aggregation function. The Ordered Weighted Aggregation Operator (OWA) (or its generalized form: Generalized Ordered Weighted Aggregation Operator (GOWA)) is more restricted with the additivity constraint in its weights. In addition, it has an extra weights reordering step making it hard to learn automatically from data. Our intension here is to compare the efficiency (or effectiveness) of learning these two types...[Show more]

CollectionsANU Research Publications
Date published: 2011
Type: Journal article
Source: Memetic Computing
DOI: 10.1007/s12293-010-0054-3


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