Detail publikace

Global Fuzzy Sensitivity Analysis of Model Outputs

KALA, Z.

Originální název

Global Fuzzy Sensitivity Analysis of Model Outputs

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

In the present pap er, the global sensitivity analysis of fuzzy results of model outputs is described which identifies relative importance of each input. Input and output quantities can be considered as fuzzy numbers. The comprehensive approach to model analysis is used capable to detect the interactions among factors the signification of which is crucial for evaluation of numerous prediction models. The mathematical conception is presented on a simple numerical problem in which the fuzzy result is calculated using general extension principle. The method is appropriate, in particular, for the calculation models the parameters and model inputs of which are not based on stochastic data, but are determined subjectively as the fuzzy numbers.

Klíčová slova

Fuzzy, set, sensitivity, uncertainty, structures, reliability

Autoři

KALA, Z.

Vydáno

8. 6. 2016

Místo

Brno, Česká republika

ISBN

978-80-214-5365-4

Kniha

22nd Int. Conf. on Soft Computing

ISSN

1803-3814

Periodikum

Mendel Journal series

Ročník

2016

Číslo

1

Stát

Česká republika

Strany od

225

Strany do

228

Strany počet

4

BibTex

@inproceedings{BUT133168,
  author="Zdeněk {Kala}",
  title="Global Fuzzy Sensitivity Analysis of Model Outputs",
  booktitle="22nd Int. Conf. on Soft Computing",
  year="2016",
  journal="Mendel Journal series",
  volume="2016",
  number="1",
  pages="225--228",
  address="Brno, Česká republika",
  isbn="978-80-214-5365-4",
  issn="1803-3814"
}