Abstract
It is very common to use time series in a large number of areas, and it is necessary to obtain as much detailed information as possible from these series. There are different possibilities for displaying this information, for example, in the form of a graphical representation. However, the need to represent information using natural language, that is to say, by means of a linguistic description, is becoming more and more frequent. This paper presents a technique for obtaining linguistic descriptions from time series using a representation called Fuzzy Piecewise Linear Segments. It is shown how to obtain the information of a modelled series using this representation and the necessary steps to generate the description using templates. Finally, some examples of its use are shown.
Supported by the project TIN2015-64776-C3-3-R of the Science and Innovation Ministry of Spain, co-funded by the European Regional Development Fund (ERDF).
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Moreno-Garcia, J., Moreno-Garcia, A., Jimenez-Linares, L., Rodriguez-Benitez, L. (2020). Describing Time Series Using Fuzzy Piecewise Linear Segments. In: Kóczy, L., Medina-Moreno, J., Ramírez-Poussa, E., Šostak, A. (eds) Computational Intelligence and Mathematics for Tackling Complex Problems. Studies in Computational Intelligence, vol 819. Springer, Cham. https://doi.org/10.1007/978-3-030-16024-1_19
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DOI: https://doi.org/10.1007/978-3-030-16024-1_19
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