Fuzzy-Based Time Series Forecasting and Modelling: A Bibliometric Analysis
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/14/6894 |
| _version_ | 1797407722080043008 |
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| author | Luis Palomero Vicente García José Salvador Sánchez |
| author_facet | Luis Palomero Vicente García José Salvador Sánchez |
| author_sort | Luis Palomero |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T03:45:43Z |
| format | Article |
| id | doaj.art-a39bab290f764a43a63cb66d8a5939ba |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T03:45:43Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-a39bab290f764a43a63cb66d8a5939ba2023-12-03T14:35:01ZengMDPI AGApplied Sciences2076-34172022-07-011214689410.3390/app12146894Fuzzy-Based Time Series Forecasting and Modelling: A Bibliometric AnalysisLuis Palomero0Vicente García1José Salvador Sánchez2Declarando Asesores 3.0 S.L., 12001 Castelló de la Plana, SpainDivisión Multidisciplinaria en Ciudad Universitaria, Universidad Autónoma de Ciudad Juárez, Av. José de Jesús Macias Delgado 18100, Ciudad Juárez 32310, MexicoDepartment of Computer Languages and Systems, Institute of New Imaging Technologies, Universitat Jaume I, Av. de Vicent Sos Baynat s/n, 12071 Castelló de la Plana, SpainThe 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.https://www.mdpi.com/2076-3417/12/14/6894time seriesforecastingpredictionmodellingfuzzy modelbibliometric analysis |
| spellingShingle | Luis Palomero Vicente García José Salvador Sánchez Fuzzy-Based Time Series Forecasting and Modelling: A Bibliometric Analysis Applied Sciences time series forecasting prediction modelling fuzzy model bibliometric analysis |
| title | Fuzzy-Based Time Series Forecasting and Modelling: A Bibliometric Analysis |
| title_full | Fuzzy-Based Time Series Forecasting and Modelling: A Bibliometric Analysis |
| title_fullStr | Fuzzy-Based Time Series Forecasting and Modelling: A Bibliometric Analysis |
| title_full_unstemmed | Fuzzy-Based Time Series Forecasting and Modelling: A Bibliometric Analysis |
| title_short | Fuzzy-Based Time Series Forecasting and Modelling: A Bibliometric Analysis |
| title_sort | fuzzy based time series forecasting and modelling a bibliometric analysis |
| topic | time series forecasting prediction modelling fuzzy model bibliometric analysis |
| url | https://www.mdpi.com/2076-3417/12/14/6894 |
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