Risk analysis with a fuzzy-logic approach of a complex installation

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Peikert, Tim; Garbe, Heyno; Potthast, S.: Risk analysis with a fuzzy-logic approach of a complex installation. In: Advances in Radio Science 14 (2016), S. 91-96. DOI: http://dx.doi.org/10.5194/ars-14-91-2016

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/717

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Sum total of downloads: 231




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Abstract: 
This paper introduces a procedural method based on fuzzy logic to analyze systematic the risk of an electronic system in an intentional electromagnetic environment (IEME). The method analyzes the susceptibility of a complex electronic installation with respect to intentional electromagnetic interference (IEMI). It combines the advantages of well-known techniques as fault tree analysis (FTA), electromagnetic topology (EMT) and Bayesian networks (BN) and extends the techniques with an approach to handle uncertainty. This approach uses fuzzy sets, membership functions and fuzzy logic to handle the uncertainty with probability functions and linguistic terms. The linguistic terms add to the risk analysis the knowledge from experts of the investigated system or environment.
License of this version: CC BY 3.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2016
Appears in Collections:Fakultät für Elektrotechnik und Informatik

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downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 184 79.65%
2 image of flag of United States United States 21 9.09%
3 image of flag of United Kingdom United Kingdom 4 1.73%
4 image of flag of China China 4 1.73%
5 image of flag of Russian Federation Russian Federation 2 0.87%
6 image of flag of Israel Israel 2 0.87%
7 image of flag of Czech Republic Czech Republic 2 0.87%
8 image of flag of Canada Canada 2 0.87%
9 image of flag of Taiwan Taiwan 1 0.43%
10 image of flag of Thailand Thailand 1 0.43%
    other countries 8 3.46%

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