Time Series Trend Extraction and its Linguistic Evaluation 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%2F12%3AA130163S" target="_blank" >RIV/61988987:17610/12:A130163S - 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
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 FLb-logic models of natural language semantics. Wewill demonstrate that the F-transform is a powerful technique for extraction of the trend-cycle of timeseries.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BA - General mathematics
OECD FORD branch
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Result continuities
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)
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proc. 2nd World Conference on Soft Computing
ISBN
978-9952-452-37-2
ISSN
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e-ISSN
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Number of pages
631
Pages from-to
593-599
Publisher name
MINISTRY OF COMMUNICATIONS AND INFORMATION TECHNOLOGIES OF THE REPUBLIC OF AZERBAIJAN
Place of publication
Baku
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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