Publication detail

Prediction of Fuzzy Times Series applying Fuzzy Inference Systém

ŽÁK, L.

Original Title

Prediction of Fuzzy Times Series applying Fuzzy Inference Systém

Type

journal article - other

Language

English

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.

Keywords

Time series, fuzzy time series, fuzzy sets.

Authors

ŽÁK, L.

RIV year

2011

Released

15. 6. 2011

ISBN

1803-3814

Periodical

Mendel Journal series

Year of study

17

Number

1

State

Czech Republic

Pages from

148

Pages to

153

Pages count

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"
}