On Ordered Weighted Logarithmic Averaging Operators and Distance Measures

Alfaro-Garcia, VG; Merigó, JM; Plata-Pérez, L; Calderón, GGA

On Ordered Weighted Logarithmic Averaging Operators and Distance Measures

Alfaro-Garcia, VG Merigó, JM Plata-Pérez, L Calderón, GGA

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018, 2019, pp. 1472-1477
Issue Date:: 2019-01-28

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Field	Value	Language
dc.contributor.author	Alfaro-Garcia, VG
dc.contributor.author	Merigó, JM
dc.contributor.author	Plata-Pérez, L
dc.contributor.author	Calderón, GGA
dc.date	2018-11-18
dc.date.accessioned	2020-05-31T21:51:35Z
dc.date.available	2020-05-31T21:51:35Z
dc.date.issued	2019-01-28
dc.identifier.citation	Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018, 2019, pp. 1472-1477
dc.identifier.isbn	9781538692769
dc.identifier.uri	http://hdl.handle.net/10453/141015
dc.description.abstract	© 2018 IEEE. In this paper we perform an in-depth description of the main properties and families of the introduced ordered weighted logarithmic averaging distance (OWLAD) operator, the generalized ordered weighted averaging distance (GWLAD) operator, and the generalized ordered weighted logarithmic averaging distance (GOWLAD) operator. These operators have as foundation the well-known Hamming distance measure and the generalized ordered weighted logarithmic averaging (GOWLA) operator. Furthermore, we analyze multiple classical measures to characterize the operators' weighting vectors and we present alternative formulations of the operators based on the ordering of the arguments.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018
dc.relation.ispartof	2018 IEEE Symposium Series on Computational Intelligence (SSCI)
dc.relation.isbasedon	10.1109/SSCI.2018.8628916
dc.rights	© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	On Ordered Weighted Logarithmic Averaging Operators and Distance Measures
dc.type	Conference Proceeding
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
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
dc.date.updated	2020-05-31T21:51:33Z
pubs.finish-date	2018-11-21
pubs.publication-status	Published
pubs.start-date	2018-11-18
utslib.start-page	1472

Abstract:

© 2018 IEEE. In this paper we perform an in-depth description of the main properties and families of the introduced ordered weighted logarithmic averaging distance (OWLAD) operator, the generalized ordered weighted averaging distance (GWLAD) operator, and the generalized ordered weighted logarithmic averaging distance (GOWLAD) operator. These operators have as foundation the well-known Hamming distance measure and the generalized ordered weighted logarithmic averaging (GOWLA) operator. Furthermore, we analyze multiple classical measures to characterize the operators' weighting vectors and we present alternative formulations of the operators based on the ordering of the arguments.

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http://hdl.handle.net/10453/141015