Fuzzy-Based Time Series Forecasting and Modelling: A Bibliometric Analysis
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Otros documentos de la autoría: Palomero, Luis; García, Vicente; Sánchez Garreta, Josep Salvador
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Título
Fuzzy-Based Time Series Forecasting and Modelling: A Bibliometric AnalysisFecha de publicación
2022-07-07Editor
MDPIISSN
2076-3417Cita bibliográfica
Palomero, 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/ app12146894Tipo de documento
info:eu-repo/semantics/articleVersión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
The 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 ... [+]
The 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. [-]
Publicado en
Applied Sciences, Vol. 12, Iss. 14 (July-2 2022)Derechos de acceso
info:eu-repo/semantics/openAccess
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