Fuzzy Regression Analysis Application on Data Time Series in Economics
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F26867184%3A_____%2F17%3AN0000006" target="_blank" >RIV/26867184:_____/17:N0000006 - 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
Fuzzy Regression Analysis Application on Data Time Series in Economics
Original language description
Complex economics systems are difficult to define and difficult to measure. In engineering practice there is a need to reflect the effects of disturbances and other influences. The suitable theoretical background for abstract formalization and utilization of vague phenomenon of uncertainty of such systems is fuzzy set theory. The basic principles of fuzzy linear modelling and identification of time series systems are presented. The real time-trend and seasonal cycles including their possibility areas are calculated and expressed.
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
50202 - Applied Economics, Econometrics
Result continuities
Project
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
INTERNATIONAL DAY OF SCIENCE 2017 economics, management, innovation
ISBN
978-80-7455-060-7
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
184-191
Publisher name
Tribun EU
Place of publication
Brno
Event location
Moravian University College Olomouc
Event date
Jan 1, 2017
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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