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IEEE Transactions on Reliability
Article . 1983 . Peer-reviewed
License: IEEE Copyright
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Fault-Tree Analysis by Fuzzy Probability

Fault-tree analysis by fuzzy probability
descriptionPublicationkeyboard_double_arrow_right Article 01 Dec 1983Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Transactions on Reliability, volume R-32, pages 453-457 (issn: 0018-9529, Copyright policy )
Authors: F. S. Lai; K. Toguchi; Liang-Tseng Fan; Hideo Tanaka;

doi: 10.1109/tr.1983.5221727

Fault-Tree Analysis by Fuzzy Probability

Abstract

In the present approach based on a fuzzy fault-tree model, the maximum possibility of system failure is determined from the possibility of failure of each component within the system according to the extension principle. In calculating the possibility of system failure, some approximation is made for simplicity.

Related Organizations
Keywords

Reliability and life testing, Fuzzy sets and logic (in connection with information, communication, or circuits theory), probability of failure, extension principle, fuzzy fault-tree model, maximum possibility of system failure

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 352
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 0.1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
352
Top 1%
Top 0.1%
Average
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