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Publikační činnost
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stať ve sborníku (D)
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Katedra informatiky a počítačů (31400)
Title:
LINGUISTIC IF-THEN RULES FOR TIME SERIES PREDICTION
Citace
Habiballa, H. a Pavliska, V. LINGUISTIC IF-THEN RULES FOR TIME SERIES PREDICTION.
In:
APLIMAT.
Bratislava: SjF STU, 2011. SjF STU, 2011. s. 571-576. ISBN 978-80-89313-51-8.
Subtitle
Publication year:
2011
Obor:
Informatika
Number of pages:
6
Page from:
571
Page to:
576
Form of publication:
ISBN code:
978-80-89313-51-8
ISSN code:
Proceedings title:
APLIMAT
Proceedings:
Mezinárodní
Publisher name:
SjF STU
Place of publishing:
Bratislava
Country of Publication:
Sborník vydaný v zahraničí
Název konference:
Aplimat
Conference venue:
Bratislava
Datum zahájení konference:
Typ akce podle státní
příslušnosti účastníků:
Evropská akce
WoS code:
EID:
Key words in English:
fuzzy logic, deduction
Annotation in original language:
Time series prediction is an important task in many areas including economics, biology etc. There are many standard methods to solve this task like Winter's method for time series prediction. These methods have one essential imperfection - they are not transparent. It means if a prediction is produced it cannot be observed why and how such an result has been obtained or such explication of results is described in hardly-readable mathematical relations. We present a new method which overcomes this imperfection and it is based on already very successful formalism of fuzzy linguistic IF-THEN rules presented and developing by the group of Prof. Novak.
Annotation in english language:
References
Reference
R01:
RIV/61988987:17310/11:A11010TQ
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