Fuzzy Transform in Time Series Decomposition

  • Linh NguyenEmail author
  • Vilém Novák
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1000)


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.



This work is supported by the project GA ČR No. 18-13951S.


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Authors and Affiliations

  1. 1.Institute for Research and Applications of Fuzzy Modelling, NSC IT4InnovationsUniversity of OstravaOstrava 1Czech Republic

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