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%3AA13014MK" target="_blank" >RIV/61988987:17310/11:A13014MK - 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

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

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

Name of the periodical

Aplimat - Journal of Applied Mathematics

ISSN

1337-6365

e-ISSN

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Volume of the periodical

4

Issue of the periodical within the volume

3

Country of publishing house

SK - SLOVAKIA

Number of pages

6

Pages from-to

121-126

UT code for WoS article

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EID of the result in the Scopus database

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