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Risk Assessment in the Presence of Uncertainty

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Book cover Advances in Fuzzy Decision Making

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 333))

Abstract

This chapter is devoted to a method which is able to process hybrid data, i.e., to jointly handle both randomness and imprecision. Random variables are described by probability distributions and imprecise values are modelled using possibility distributions. The main advantage of the proposed method is that it takes into account the dependencies between economic parameters.

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Notes

  1. 1.

    This cost does not account for the values of used steel products manufactured in previous stages of the cycle as well as value of used raw materials, corrections are done in order to avoid multiple calculation of the same cost components during calculation of profit, according to formula (4.1).

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Authors and Affiliations

  1. AGH University of Science and Technology, Kraków, Poland

    Beata Basiura, Jerzy Duda, Bartłomiej Gaweł, Janusz Opiła, Tomasz Pełech-Pilichowski, Bogdan Rębiasz & Iwona Skalna

Authors
  1. Beata Basiura
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  2. Jerzy Duda
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  3. Bartłomiej Gaweł
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  4. Janusz Opiła
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  5. Tomasz Pełech-Pilichowski
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  6. Bogdan Rębiasz
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  7. Iwona Skalna
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Correspondence to Beata Basiura .

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Basiura, . et al. (2015). Risk Assessment in the Presence of Uncertainty. In: Advances in Fuzzy Decision Making. Studies in Fuzziness and Soft Computing, vol 333. Springer, Cham. https://doi.org/10.1007/978-3-319-26494-3_5

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  • DOI: https://doi.org/10.1007/978-3-319-26494-3_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26492-9

  • Online ISBN: 978-3-319-26494-3

  • eBook Packages: EngineeringEngineering (R0)

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