The OWA operator with boxplot method in time series

Torres-Martínez, A; Gil-Lafuente, AM; Merigó, JM

The OWA operator with boxplot method in time series

Torres-Martínez, A Gil-Lafuente, AM Merigó, JM

Permalink

Publisher:: Springer
Publication Type:: Conference Proceeding
Citation:: Modelling and Simulation in Management Sciences, 2020, 894, pp. 13-21
Issue Date:: 2020-01-01

Closed Access

	Filename	Description	Size
	Torres-Martínez2020_Chapter_TheOWAOperatorWithBoxplotMetho.pdf		369.27 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Torres-Martínez, A
dc.contributor.author	Gil-Lafuente, AM
dc.contributor.author	Merigó, JM
dc.date	2018-06-28
dc.date.accessioned	2021-05-07T01:49:23Z
dc.date.available	2021-05-07T01:49:23Z
dc.date.issued	2020-01-01
dc.identifier.citation	Modelling and Simulation in Management Sciences, 2020, 894, pp. 13-21
dc.identifier.isbn	9783030154127
dc.identifier.issn	2194-5357
dc.identifier.issn	2194-5365
dc.identifier.uri	http://hdl.handle.net/10453/148763
dc.description.abstract	This paper presents an aggregation model for time series with the OWA operator, using as arguments representative values calculated from the quantiles of a data set and particularly with the values of the boxplot graph. The application of the OWA operator in this model allows forecasting time series including the optimistic or pessimistic attitude of the analysts, through the weighting vector. To illustrate the boxplot-OWA operator model, results are presented with data from the IBEX 35 for different periods of time in 2017.
dc.language	en
dc.publisher	Springer
dc.relation.ispartof	Modelling and Simulation in Management Sciences
dc.relation.ispartof	International Conference on Modelling and Simulation in Management Sciences
dc.relation.ispartofseries	Advances in Intelligent Systems and Computing
dc.relation.isbasedon	10.1007/978-3-030-15413-4_2
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	The OWA operator with boxplot method in time series
dc.type	Conference Proceeding
utslib.citation.volume	894
utslib.location.activity	Spain
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.consider-herdc	false
dc.date.updated	2021-05-07T01:49:22Z
pubs.finish-date	2018-06-29
pubs.place-of-publication	Switzerland
pubs.publication-status	Published
pubs.start-date	2018-06-28
pubs.volume	894
dc.location	Switzerland

Abstract:

This paper presents an aggregation model for time series with the OWA operator, using as arguments representative values calculated from the quantiles of a data set and particularly with the values of the boxplot graph. The application of the OWA operator in this model allows forecasting time series including the optimistic or pessimistic attitude of the analysts, through the weighting vector. To illustrate the boxplot-OWA operator model, results are presented with data from the IBEX 35 for different periods of time in 2017.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/148763