Conference Proceedings

Fuzzy Transform in Time Series Decomposition

Advances in Intelligent Systems and Computing (2019) 1000 417-428
DOI: 10.1007/978-3-030-21920-8_38
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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.

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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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