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Induced aggregation operators in the ordered weighted average sum

Authordc.contributor.authorMerigó Lindahl, José 
Authordc.contributor.authorAlrajeh, Nabil 
Authordc.contributor.authorPeris Ortiz, Marta 
Cita de ítemdc.identifier.citation2016 IEEE Symposium Series on Computational Intelligence, SSCI 20169 February 2017, Article number 7850148
Abstractdc.description.abstractThe ordered weighted average (OWA) aggregation is an extension of the classical weighted average by using a reordering process of the arguments in a decreasing or increasing way. This article presents new averaging aggregation operators by using sums and order inducing variables. This approach produces the induced ordered weighted average sum (IOWAS). The IOWAS operator aggregates a set of sums using a complex reordering process based on order-inducing variables. This approach includes a different types of aggregation structures including the well-known OWA families. The work presents additional generalizations by using generalized and quasi-arithmetic means. The paper ends with a simple numerical example that shows how to aggregate with this new approach.
Type of licensedc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
Link to Licensedc.rights.uri
Sourcedc.sourceIEEE Symposium Series on Computational Intelligence, SSCI 2016
Keywordsdc.subjectInduced aggregation operators
Keywordsdc.subjectOrdered weighted average
Keywordsdc.subjectQuasi-arithmetic means
Títulodc.titleInduced aggregation operators in the ordered weighted average sum
Document typedc.typeArtículo de revista
Indexationuchile.indexArtículo de publicación SCOPUS

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Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Chile