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Uncertainty reduction techniques in an expert system for fault tree construction

  • Sergio F. Garribba
  • Enrico Guagnini
  • Piero Mussio
Section III Applications
Part of the Lecture Notes in Computer Science book series (LNCS, volume 286)

Abstract

Logical fault trees are used for obtaining reliability- oriented representations of complex engineered systems. The construction of fault trees is time-consuming and may be affected by several sources of potential error. An expert system has been designed to reduce and control uncertainties that emerge during the construction process. Fuzzy algebra and multiple-valued logic provide the formal instruments for solving problems encountered and for organizing the information which may become available to the analyst. Consequently, a multiplevalued fuzzy logical tree is proposed as a general representation of the engineered system. The tree can be compressed and reduced to the crisp binary case to establish comparisons and perform evaluations as required.

Keywords

Membership Function Expert System Fuzzy Number Logical Tree Elementary Component 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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    S. Garribba, E. Guagnini, P. Mussio — An Expert System for Fault Tree Construction; pp. 82–88 in 1985 Proc. Annual Reliability and Maintainability Symposium, Philadelphia, Pa., Jan. 22–24, 1985; IEEE, New York, NY, 1985.Google Scholar
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Copyright information

© Springer-Verlag Berlin Heidelberg 1987

Authors and Affiliations

  • Sergio F. Garribba
    • 1
  • Enrico Guagnini
    • 1
  • Piero Mussio
    • 2
  1. 1.Cesnef, Politecnico di MilanoMilanoItaly
  2. 2.Physics Dept.Universitä degli Studi di MilanoMilanoItaly

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