Publication detail

Global Fuzzy Sensitivity Analysis of Model Outputs

KALA, Z.

Original Title

Global Fuzzy Sensitivity Analysis of Model Outputs

Type

conference paper

Language

English

Original Abstract

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.

Keywords

Fuzzy, set, sensitivity, uncertainty, structures, reliability

Authors

KALA, Z.

Released

8. 6. 2016

Location

Brno, Česká republika

ISBN

978-80-214-5365-4

Book

22nd Int. Conf. on Soft Computing

ISBN

1803-3814

Periodical

Mendel Journal series

Year of study

2016

Number

1

State

Czech Republic

Pages from

225

Pages to

228

Pages count

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"
}