Prediction of Fuzzy Times Series applying Fuzzy Inference Systém

Result code in IS VaVaI

RIV/00216305:26210/11:PU97248 - isvavai.cz

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Prediction of Fuzzy Times Series applying Fuzzy Inference Systém

Original language description

When dealing with time series we often need to solve such a situation: the value of time series members is not crisp, but vague. In such a case we need to transform the vague, fuzzy value to a crisp one.. We have some possibilities how to express the data uncertainty. Using this uncertainty we can get a fuzzy time series. The method was described at MENDEL 10. This article deals with fuzzy time series prediction using a fittingly defined Fuzzy Inference System.

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

BA - General mathematics

OECD FORD branch

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Project

1M06047: Research Center for Quality and Reliability of Production

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2011

Confidentiality

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

Name of the periodical

Mendel Journal series

ISSN

1803-3814

e-ISSN

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Volume of the periodical

17

Issue of the periodical within the volume

1

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

6

Pages from-to

148-153

UT code for WoS article

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EID of the result in the Scopus database

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