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Aleatory and Epistemic Uncertainty Quantification

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Applied Mathematics

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 146))

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Abstract

In this paper, an effort has been made to combine aleatory and epistemic uncertainties in risk models. We have combined probabilistic distributions, generalized fuzzy numbers, and completely generalized interval valued fuzzy numbers.

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Author information

Authors and Affiliations

  1. Department of Mathematics, Dibrugarh University, Dibrugarh, 786004, India

    Palash Dutta & Tazid Ali

Authors
  1. Palash Dutta
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  2. Tazid Ali
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Corresponding author

Correspondence to Palash Dutta .

Editor information

Editors and Affiliations

  1. Department of Applied Mathematics, University of Calcutta (UoC), Kolkata, West Bengal, India

    Susmita Sarkar

  2. Department of Applied Mathematics, University of Calcutta (UoC), Kolkata, West Bengal, India

    Uma Basu

  3. Department of Applied Mathematics, University of Calcutta (UoC), Kolkata, India

    Soumen De

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Dutta, P., Ali, T. (2015). Aleatory and Epistemic Uncertainty Quantification. In: Sarkar, S., Basu, U., De, S. (eds) Applied Mathematics. Springer Proceedings in Mathematics & Statistics, vol 146. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2547-8_20

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