Prediction of Fuzzy Times Series applying Fuzzy Inference Systém

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F11%3APU97248" target="_blank" >RIV/00216305:26210/11:PU97248 - 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
Prediction of Fuzzy Times Series applying Fuzzy Inference Systém
Original language description
When dealing with time series we often need to solve such a situation: the value of time series members is not crisp, but vague. In such a case we need to transform the vague, fuzzy value to a crisp one.. We have some possibilities how to express the data uncertainty. Using this uncertainty we can get a fuzzy time series. The method was described at MENDEL 10. This article deals with fuzzy time series prediction using a fittingly defined Fuzzy Inference System.
Czech name
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Czech description
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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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Project
<a href="/en/project/1M06047" target="_blank" >1M06047: Research Center for Quality and Reliability of Production</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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