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Record type:	stať ve sborníku (D)
Home Department:	Katedra informatiky a počítačů (31400)
Title:	Fuzzy techniques for time series prediction
Citace	Kotyrba, M., Volná, E., Janošek, M., Kocian, V. a Habiballa, H. Fuzzy techniques for time series prediction. In: Fuzzy techniques for time series prediction. STU Bratislava, 2011. s. 585-590. ISBN 978-80-89313-51-8.

Subtitle
Publication year:	2011
Obor:	Informatika
Number of pages:	6
Page from:	585
Page to:	590
Form of publication:
ISBN code:	978-80-89313-51-8
ISSN code:
Proceedings title:	Fuzzy techniques for time series prediction
Proceedings:	Mezinárodní
Publisher name:	STU Bratislava
Place of publishing:	Neuveden
Country of Publication:	Sborník vydaný v zahraničí
Název konference:	10th International Conference on Applied Mathematics, Aplimat 2011
Conference venue:	Bratislava
Datum zahájení konference:
Typ akce podle státní příslušnosti účastníků:	Evropská akce
WoS code:
EID:

Key words in English:	Fuzzy theory, prediction, FIS, LFLC, linguistic rules.
Annotation in original language:	This paper presents a comparison of two methods for time series prediction, LFLC (Linguistic Fuzzy Logic Controller) and FIS (Fuzzy Interface System). It is essential that both are applied to the time series prediction of market development. It is very difficult to predict the market behavior because the overall trend is determined by many factors and unforeseen circumstances. The main experiment of this paper is to compare results of prediction of two different methods of ranking fuzzy theory, the challenge is to create a forecast of the stock market.
Annotation in english language:

References

Reference

R01:	RIV/61988987:17310/11:A11010RO

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