Induced generalized ordered weighted logarithmic aggregation operators

Alfaro-Garcia, VG; Gil-Lafuente, AM; Merigo, JM

Induced generalized ordered weighted logarithmic aggregation operators

Alfaro-Garcia, VG Gil-Lafuente, AM Merigo, JM

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Publication Type:: Conference Proceeding
Citation:: 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016, 2017
Issue Date:: 2017-02-09

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Field	Value	Language
dc.contributor.author	Alfaro-Garcia, VG	en_US
dc.contributor.author	Gil-Lafuente, AM	en_US
dc.contributor.author	Merigo, JM https://orcid.org/0000-0002-4672-6961	en_US
dc.date.issued	2017-02-09	en_US
dc.identifier.citation	2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016, 2017	en_US
dc.identifier.isbn	9781509042401	en_US
dc.identifier.uri	http://hdl.handle.net/10453/126399
dc.description.abstract	© 2016 IEEE. We present the induced generalized ordered weighted logarithmic aggregation (IGOWLA) operator. It is an extension of the generalized ordered weighted logarithmic aggregation (GOWLA) operator. The IGOWLA operator uses order-induced variables that modify the reordering mechanism of the arguments to be aggregated. The main advantage of the induced process is the consideration of the complex attitude of the decision makers. We study some properties of the IGOWLA operator, such as idempotency, commutativity, boundedness and monotonicity. Finally we present an illustrative example of a group decision-making procedure using a multi-person analysis and the IGOWLA operator in the area of innovation management.	en_US
dc.relation.ispartof	2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016	en_US
dc.relation.isbasedon	10.1109/SSCI.2016.7850012	en_US
dc.title	Induced generalized ordered weighted logarithmic aggregation operators	en_US
dc.type	Conference Proceeding
utslib.for	0802 Computation Theory and Mathematics	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

© 2016 IEEE. We present the induced generalized ordered weighted logarithmic aggregation (IGOWLA) operator. It is an extension of the generalized ordered weighted logarithmic aggregation (GOWLA) operator. The IGOWLA operator uses order-induced variables that modify the reordering mechanism of the arguments to be aggregated. The main advantage of the induced process is the consideration of the complex attitude of the decision makers. We study some properties of the IGOWLA operator, such as idempotency, commutativity, boundedness and monotonicity. Finally we present an illustrative example of a group decision-making procedure using a multi-person analysis and the IGOWLA operator in the area of innovation management.

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http://hdl.handle.net/10453/126399