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Fuzzy-Based Time Series Forecasting and Modelling: A Bibliometric Analysis

dc.contributor.authorPalomero, Luis
dc.contributor.authorGarcía, Vicente
dc.contributor.authorSánchez Garreta, Josep Salvador
dc.date.accessioned2022-09-23T16:05:05Z
dc.date.available2022-09-23T16:05:05Z
dc.date.issued2022-07-07
dc.identifier.citationPalomero, L.; García, V.; Sánchez, J.S. Fuzzy-Based Time Series Forecasting and Modelling: A Bibliometric Analysis. Appl. Sci. 2022, 12, 6894. https://doi.org/10.3390/ app12146894ca_CA
dc.identifier.issn2076-3417
dc.identifier.urihttp://hdl.handle.net/10234/199773
dc.description.abstractThe purpose of this paper is to present the results of a systematic literature review regarding the development of fuzzy-based models for time series forecasting in the period 2017–2021. The study was conducted using a well-established review protocol and a couple of powerful tools for bibliometric analysis to know and analyse the main approaches adopted in the research field of interest. We analysed 118 articles published in peer-reviewed journals indexed in the 2020 Journal Citation Reports of the Web of Science. This allowed us to present an in-depth performance analysis and a science mapping regarding the current situation of fuzzy time series forecasting and modelling. The outputs of this study provide a practical base for further investigations that address this topic from both a methodological point of view and in terms of applicability.ca_CA
dc.format.extent17 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherMDPIca_CA
dc.relation.isPartOfApplied Sciences, Vol. 12, Iss. 14 (July-2 2022)ca_CA
dc.rightsCopyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).ca_CA
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/ca_CA
dc.subjecttime seriesca_CA
dc.subjectforecastingca_CA
dc.subjectpredictionca_CA
dc.subjectmodellingca_CA
dc.subjectfuzzy modelca_CA
dc.subjectbibliometric analysisca_CA
dc.titleFuzzy-Based Time Series Forecasting and Modelling: A Bibliometric Analysisca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttps://doi.org/10.3390/app12146894
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_CA


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Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
Excepto si se señala otra cosa, la licencia del ítem se describe como: Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).