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Publication detail
KALA, Z.
Original Title
Global Sensitivity Analysis Based on Entropy: From Differential Entropy to Alternative Measures
Type
journal article in Web of Science
Language
English
Original Abstract
Differential entropy can be negative, while discrete entropy is always non-negative. This article shows that negative entropy is a significant flaw when entropy is used as a sensitivity measure in global sensitivity analysis. Global sensitivity analysis based on differential entropy cannot have negative entropy, just as Sobol sensitivity analysis does not have negative variance. Entropy is similar to variance but does not have the same properties. An alternative sensitivity measure based on the approximation of the differential entropy using dome-shaped functionals with non-negative values is proposed in the article. Case studies have shown that new sensitivity measures lead to a rational structure of sensitivity indices with a significantly lower proportion of higher-order sensitivity indices compared to other types of distributional sensitivity analysis. In terms of the concept of sensitivity analysis, a decrease in variance to zero means a transition from the differential to discrete entropy. The form of this transition is an open question, which can be studied using other scientific disciplines. The search for new functionals for distributional sensitivity analysis is not closed, and other suitable sensitivity measures may be found.
Keywords
sensitivity analysis; importance measure; uncertainty quantification; entropy measures
Authors
Released
19. 6. 2021
Publisher
MDPI
Location
BASEL
ISBN
1099-4300
Periodical
ENTROPY
Year of study
23
Number
6
State
Swiss Confederation
Pages from
1
Pages to
16
Pages count
URL
https://www.mdpi.com/1099-4300/23/6/778
Full text in the Digital Library
http://hdl.handle.net/11012/204062
BibTex
@article{BUT176086, author="Zdeněk {Kala}", title="Global Sensitivity Analysis Based on Entropy: From Differential Entropy to Alternative Measures", journal="ENTROPY", year="2021", volume="23", number="6", pages="1--16", doi="10.3390/e23060778", issn="1099-4300", url="https://www.mdpi.com/1099-4300/23/6/778" }