Publication detail

Prediction of Fuzzy Times Series applying Fuzzy Inference Systém

ŽÁK, L.

English title

Prediction of Fuzzy Times Series applying Fuzzy Inference Systém

Type

Peer-reviewed article not indexed in WoS or Scopus

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.

Keywords in English

Time series, fuzzy time series, fuzzy sets.

Released

2011-06-15

ISSN

1803-3814

Journal

Mendel Journal series

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",
  journal="Mendel Journal series",
  year="2011",
  volume="17",
  number="1",
  pages="148--153",
  issn="1803-3814"
}