Detail publikačního výsledku

Prediction of Fuzzy Times Series applying Fuzzy Inference Systém

ŽÁK, L.

Originální název

Prediction of Fuzzy Times Series applying Fuzzy Inference Systém

Anglický název

Prediction of Fuzzy Times Series applying Fuzzy Inference Systém

Druh

Článek recenzovaný mimo WoS a Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

Time series, fuzzy time series, fuzzy sets.

Klíčová slova v angličtině

Time series, fuzzy time series, fuzzy sets.

Autoři

ŽÁK, L.

Rok RIV

2012

Vydáno

15.06.2011

ISSN

1803-3814

Periodikum

Mendel Journal series

Svazek

17

Číslo

1

Stát

Česká republika

Strany od

148

Strany do

153

Strany počet

6

BibTex

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