Publication detail

Prediction of Fuzzy Times Series applying Fuzzy Inference Systém

ŽÁK, L.

Czech title

Předpověď fuzzy časové řady pomocí Fuzzy Inference system

English title

Prediction of Fuzzy Times Series applying Fuzzy Inference Systém

Type

journal article - other

Language

en

Original abstract

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 abstract

Článek se zabývá využitím fuzzy inference systému pro odhad dalšího vývoje u fuzzy časové řady. Na základě předcházejících členů se vyladí FIS a s jeho pomocí se předpovídá další vývoj fuzzy řady.

English abstract

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.

Keywords in Czech

časová řada, fuzzy časová řada, fuzzy inference system

Keywords in English

Time series, fuzzy time series, fuzzy sets.

RIV year

2011

Released

15.06.2011

ISSN

1803-3814

Volume

17

Number

1

Pages from–to

148–153

Pages count

6

BIBTEX


@article{BUT89948,
  author="Libor {Žák},
  title="Prediction of Fuzzy Times Series applying Fuzzy Inference Systém",
  year="2011",
  volume="17",
  number="1",
  month="June",
  pages="148--153",
  issn="1803-3814"
}