Fuzzy Transform in Time Series Decomposition
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F19%3AA2001ZTU" target="_blank" >RIV/61988987:17610/19:A2001ZTU - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-030-21920-8_38" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-21920-8_38</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-21920-8_38" target="_blank" >10.1007/978-3-030-21920-8_38</a>
Alternative languages
Result language
angličtina
Original language name
Fuzzy Transform in Time Series Decomposition
Original language description
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. Wedevote theoretical justifications for decomposing it into an additive model. Several examples are considered to demonstrate our methodology.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
<a href="/en/project/GA18-13951S" target="_blank" >GA18-13951S: New approaches to financial time series modelling based on soft computing</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Fuzzy Techniques: Theory and Applications
ISBN
978-3-030-21919-2
ISSN
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e-ISSN
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Number of pages
12
Pages from-to
417-428
Publisher name
Springer
Place of publication
Cham
Event location
Lafayette, USA
Event date
Jun 18, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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