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Fuzzy Transform in Time Series Decomposition
2019In 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.
Linh Nguyen, Vilém Novák
openaire +1 more source
Fuzzy Time Series Analysis and Forecasting
2006The problem of system modeling and identification has attracted considerable attention during the past decades mostly because of a large number of applications in diverse fields. In this chapter we give a well defined fuzzy time series model with forecasting through the Markov fuzzy relation.
Wu, Berlin, Nguyen, H.T.
openaire +2 more sources
Human papillomavirus vaccination 2020 guideline update: American Cancer Society guideline adaptation
Ca-A Cancer Journal for Clinicians, 2020Robert A Smith
exaly
Artificial intelligence in cancer imaging: Clinical challenges and applications
Ca-A Cancer Journal for Clinicians, 2019Wenya Linda Bi +2 more
exaly
Childhood and adolescent cancer statistics, 2014
Ca-A Cancer Journal for Clinicians, 2014Ahmedin Jemal
exaly