Fuzzy techniques for time series prediction

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F11%3AA11010RO" target="_blank" >RIV/61988987:17310/11:A11010RO - 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

Fuzzy techniques for time series prediction

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

IN - Informatics

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2011

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Fuzzy techniques for time series prediction

ISBN

978-80-89313-51-8

ISSN

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e-ISSN

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Number of pages

6

Pages from-to

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Publisher name

STU Bratislava

Place of publication

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Event location

Bratislava

Event date

Feb 1, 2011

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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