Abstract
In this paper, we provide a method for applying the fuzzy transform of higher degree to time series decomposition. We assume that a time series can be decomposed into a trend-cycle, a seasonal component and an irregular fluctuation, we devote theoretical justifications for decomposing it into an additive model. Several examples are consider to demonstrate our methodology.
Cite
CITATION STYLE
APA
Nguyen, L., & Novák, V. (2019). Fuzzy Transform in Time Series Decomposition. In Advances in Intelligent Systems and Computing (Vol. 1000, pp. 417–428). Springer Verlag. https://doi.org/10.1007/978-3-030-21920-8_38
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