About: Fuzzy Rule-Based Ensemble Forecasting: Introductory Study

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	There is no individual forecasting method that is generally for any given time series better than any other method. Thus, no matter the efficiency of a chosen method, there always exists a danger that for a given time series the chosen method is inappropriate. To overcome such a problem and avoid the above mentioned danger, distinct ensemble techniques that combine more individual forecasting methods are designed. These techniques basically construct a forecast as a linear combination of forecasts by individual methods. In this contribution, we construct a novel ensemble technique that determines the weights based on time series features. The protocol that carries a knowledge how to combine the individual forecasts is a fuzzy rule base (linguistic description). An exhaustive experimental justification is provided. The suggested ensemble approach based on fuzzy rules demonstrates both, lower forecasting error and higher robustness. There is no individual forecasting method that is generally for any given time series better than any other method. Thus, no matter the efficiency of a chosen method, there always exists a danger that for a given time series the chosen method is inappropriate. To overcome such a problem and avoid the above mentioned danger, distinct ensemble techniques that combine more individual forecasting methods are designed. These techniques basically construct a forecast as a linear combination of forecasts by individual methods. In this contribution, we construct a novel ensemble technique that determines the weights based on time series features. The protocol that carries a knowledge how to combine the individual forecasts is a fuzzy rule base (linguistic description). An exhaustive experimental justification is provided. The suggested ensemble approach based on fuzzy rules demonstrates both, lower forecasting error and higher robustness. (en)
Title	Fuzzy Rule-Based Ensemble Forecasting: Introductory Study Fuzzy Rule-Based Ensemble Forecasting: Introductory Study (en)
skos:prefLabel	Fuzzy Rule-Based Ensemble Forecasting: Introductory Study Fuzzy Rule-Based Ensemble Forecasting: Introductory Study (en)
skos:notation	RIV/61988987:17610/13:A13014MF!RIV13-MSM-17610___
http://linked.open...avai/predkladatel	Centrum excelence IT4Innovations, divize OU, Ústav pro výzkum a aplikace fuzzy modelování
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(ED1.1.00/02.0070), P(LH12229), S
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	SIKORA, David Vavříčková, Lenka Štěpnička, Martin
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Ostravská univerzita v Ostravě / Centrum excelence IT4Innovations, divize OU, Ústav pro výzkum a aplikace fuzzy modelování
http://linked.open...dnocenehoVysledku	76096
http://linked.open...ai/riv/idVysledku	RIV/61988987:17610/13:A13014MF
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Time series; Ensembles; Fuzzy rules (en)
http://linked.open.../riv/klicoveSlovo	Fuzzy rules Time series Ensembles
http://linked.open...ontrolniKodProRIV	[D21D41F7DC8A]
http://linked.open...v/mistoKonaniAkce	Konstanz
http://linked.open...i/riv/mistoVydani	Heidelberg
http://linked.open...i/riv/nazevZdroje	Synergies of Soft Computing and Statistics for Intelligent Data Analysis (Advances in Intelligent Systems and Computing))
http://linked.open...in/vavai/riv/obor	BA
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Research and development of methods and tools for intelligent analysis of time series for tasks of strategic planning IT4Innovations Centre of Excellence
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Vavříčková, Lenka Štěpnička, Martin Sikora, David
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open...ain/vavai/riv/wos	000312969600041
http://linked.open.../riv/zahajeniAkce	2012-01-01 (xsd:date)
number of pages	9 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	978-3-642-33041-4
http://localhost/t...ganizacniJednotka	17610

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