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Advanced Methods in Uncertainty Management

In: Reliability and Safety Engineering

Author

Listed:
  • Ajit Kumar Verma

    (Stord/Haugesund University College)

  • Srividya Ajit

    (Stord/Haugesund University College)

  • Durga Rao Karanki

    (Paul Scherrer Institute)

Abstract

Uncertainty management encompasses identification and characterizing elementary uncertainties, propagation of model input uncertainties, and prioritizing the measures to reduce the uncertainties. This chapter primarily focuses on complex issues in uncertainty management such as treating correlations among uncertain parameters, separating epistemic and aleatory uncertainties, and ranking the parameters. Alternative uncertainty methods, Dempster-Shafer approach and probability bounds based approach, are discussed with a few numerical examples. Further, a comparison of different approaches on a plant case study is presented, where the benefits and limitations of each approach are given.

Suggested Citation

  • Ajit Kumar Verma & Srividya Ajit & Durga Rao Karanki, 2016. "Advanced Methods in Uncertainty Management," Springer Series in Reliability Engineering, in: Reliability and Safety Engineering, edition 2, chapter 0, pages 493-554, Springer.
    • Handle: RePEc:spr:ssrchp:978-1-4471-6269-8_14
    DOI: 10.1007/978-1-4471-6269-8_14
    as

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