Forecasting Trend of a Group of Time Series Using F-Transform and Fuzzy Natural Logic
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F15%3AA1601BYA" target="_blank" >RIV/61988987:17610/15:A1601BYA - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Forecasting Trend of a Group of Time Series Using F-Transform and Fuzzy Natural Logic
Original language description
We present an idea to group time series according to similarity of their local trends and to predict future trend of all of them on the basis of forecast of only one representative. First, we assign to each time series an adjoint one that consists of a sequence of F1-transform components. Then we group them according to their similarity. The we select on principal time series, forecast its future course and then forecast trends of the other time series from the same group. The latter is realized using special methods of fuzzy natural logic.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BA - General mathematics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LH12229" target="_blank" >LH12229: Research and development of methods and tools for intelligent analysis of time series for tasks of strategic planning</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
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ISSN
1875-6891
e-ISSN
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Volume of the periodical
8
Issue of the periodical within the volume
1
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
14
Pages from-to
15-28
UT code for WoS article
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EID of the result in the Scopus database
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