Time Series Trend Extraction and Its Linguistic Evaluation Using F-Transform and Fuzzy Natural Logic

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F14%3AA1501B9M" target="_blank" >RIV/61988987:17610/14:A1501B9M - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Time Series Trend Extraction and Its Linguistic Evaluation Using F-Transform and Fuzzy Natural Logic
Original language description
This paper continues development of the innovative method of time series analysis and forecasting using special soft-computing techniques: fuzzy transform and Fuzzy Natural Logic. We will demonstrate that the F-transform is a proper technique for extraction of the trend-cycle of time series. Furthermore, we will elaborate in more detail automatic generation of linguistic evaluation of its behavior in changing time slots. Thanks to the first-degree F-transform (F$^1$-transform), this works even if the graph of the time series visually does not suggest a clear tendency.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Recent Developments and New Directions in Soft Computing (Studies in Fuzziness and Soft Computing 317)
ISBN
978-3-319-06322-5
ISSN
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e-ISSN
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Number of pages
14
Pages from-to
429-442
Publisher name
Springer
Place of publication
Switzerland
Event location
Baku
Event date
Jan 1, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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