A comparison of smoothing filter based on fuzzy transform and Nadaraya-Watson estimators

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F11%3AA12012TE" target="_blank" >RIV/61988987:17610/11:A12012TE - isvavai.cz</a>
Alternative codes found
RIV/61989100:27510/11:86079331
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
A comparison of smoothing filter based on fuzzy transform and Nadaraya-Watson estimators
Original language description
Data smoothing is an important step within a data processing allowing one to stress the most important patterns. In literature we can find many different smoothing techniques and filter types. Recently, Holcapek and Tichy (2010, 2011) suggested smoothingfilters based on fuzzy transform approach introduced by Perfilieva (2004). For this purpose, a generalization of the concept of fuzzy partition was suggested and the smoothing filter was defined as a combination of the direct discrete fuzzy transform and a slightly modified inverse continuous fuzzy transform. In this paper we compare the proposed filter with the Nadaraya-Watson estimator. We provide an approximative relation of both filters by an optimal parameter selection.
Czech name
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Czech description
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Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 29th International Conference on Mathematical Methods in Economics 2011
ISBN
978-80-7431-058-4
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
260-265
Publisher name
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Place of publication
Praha: VŠE Praha
Event location
Liptovský Ján, Slovensko
Event date
Sep 6, 2011
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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