Monte-Carlo-Type Techniques for Processing Interval Uncertainty, and Their Potential Engineering Applications

  title={Monte-Carlo-Type Techniques for Processing Interval Uncertainty, and Their Potential Engineering Applications},
  author={Vladik Kreinovich and Jan Beck and Carlos Ferregut and Araceli S{\'a}nchez and G. Randy Keller and Matthew G. Averill and Scott A. Starks},
  journal={Reliable Computing},
In engineering applications, we need to make decisions under uncertainty. Traditionally, in engineering, statistical methods are used, methods assuming that we know the probability distribution of different uncertain parameters. Usually, we can safely linearize the dependence of the desired quantities y (e.g., stress at different structural points) on the uncertain parameters xi – thus enabling sensitivity analysis. Often, the number n of uncertain parameters is huge, so sensitivity analysis… CONTINUE READING

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RAMAS Risk Calc 4.0: Risk Assessment with Uncertain Numbers

  • S. Ferson
  • 2002
Highly Influential
6 Excerpts

Summary Description of the Methods Used in the Probabilistic Risk Assessments for NUREG-1150

  • R. J. Breeding, J. C. Helton, E. D. Gorham, F. T. Harper
  • Nuclear Engineering and Design,
  • 1992
Highly Influential
6 Excerpts

Treatment in geometric tolerances in finite element analysis, International

  • R. L. Muhanna, R. L. Mullen
  • Journal of Advanced Manufacturing Systems,
  • 2001
1 Excerpt

Uncertainty in mechanics problems – interval-based approach

  • R. L. Muhanna, R. L. Mullen
  • ASCE Journal of Engineering Mechanics,
  • 2001
1 Excerpt

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