Detail publikace

Prediction of Fuzzy Times Series applying Fuzzy Inference Systém

ŽÁK, L.

Originální název

Prediction of Fuzzy Times Series applying Fuzzy Inference Systém

Typ

článek v časopise - ostatní, Jost

Jazyk

angličtina

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.

Klíčová slova

Time series, fuzzy time series, fuzzy sets.

Autoři

ŽÁK, L.

Rok RIV

2011

Vydáno

15. 6. 2011

ISSN

1803-3814

Periodikum

Mendel Journal series

Ročník

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"
}