IF-Inference Systems Design for Prediction of Ozone Time Series: The Case of Pardubice Micro-region

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F10%3A39881989" target="_blank" >RIV/00216275:25410/10:39881989 - 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
IF-Inference Systems Design for Prediction of Ozone Time Series: The Case of Pardubice Micro-region
Original language description
The paper presents basic notions of fuzzy inference systems based on the Takagi-Sugeno fuzzy model. On the basis of this fuzzy inference system and IF-sets introduced by K.T. Atanassov, novel IF-inference systems can be designed. Thus, an IF-inference system is developed for time series prediction. In the next part of the paper we describe ozone prediction by IF-inference systems and the analysis of the results.
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
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of International Conference on Artificial Neural Networks
ISBN
978-3-642-15818-6
ISSN
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e-ISSN
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Number of pages
11
Pages from-to
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Publisher name
Springer
Place of publication
Heidelberg
Event location
Thessaloniki
Event date
Sep 15, 2010
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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