New approach to short-term GDP prediction: From statistics to fuzzy model

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F19%3A00001803" target="_blank" >RIV/75081431:_____/19:00001803 - 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
New approach to short-term GDP prediction: From statistics to fuzzy model
Original language description
The aim of the paper is to predict the growth rate of the output within a short time period using the fuzzy approach, which is an appropriate tool for analyzing problems burdened by uncertainty. First, we briefly compare the fuzzy approach with the statistical methods in the cases where predictors face a non-deterministic environment. The principles of the fuzzy set theory is described and then applied in the gross domestic product growth rate prediction of Greece for the years 2018 (compared to the reported econometric forecast) and 2020 (a new contribution to the paper).
Czech name
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Czech description
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Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 14th International Conference on Liberec Economic Forum
ISBN
9788074944826
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
180-188
Publisher name
Technical University of Liberec
Place of publication
Liberec, Czech Republic
Event location
Liberec, Czech Republic
Event date
Sep 17, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000540987200018

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