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KALA, Z.
Original Title
Global Fuzzy Sensitivity Analysis of Model Outputs
English Title
Type
Paper in proceedings (conference paper)
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.
English abstract
Keywords
Fuzzy, set, sensitivity, uncertainty, structures, reliability
Key words in English
Authors
RIV year
2017
Released
08.06.2016
Location
Brno, Česká republika
ISBN
978-80-214-5365-4
Book
22nd Int. Conf. on Soft Computing
1803-3814
Periodical
Mendel Journal series
Volume
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" }