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Part of the book series: Studies in Computational Intelligence ((SCI,volume 393))

Abstract

In many real-life situations, we have several types of uncertainty: measurement uncertainty can lead to probabilistic and/or interval uncertainty, expert estimates come with interval and/or fuzzy uncertainty, etc. In many situations, in addition to measurement uncertainty, we have prior knowledge coming from prior data processing and/or prior knowledge coming from prior interval constraints.

In this chapter, on the example of the seismic inverse problem, we show how to combine these different types of uncertainty.

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© 2012 Springer-Verlag Berlin Heidelberg

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Nguyen, H.T., Kreinovich, V., Wu, B., Xiang, G. (2012). Applications to Geophysics: Inverse Problem. In: Computing Statistics under Interval and Fuzzy Uncertainty. Studies in Computational Intelligence, vol 393. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24905-1_39

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  • DOI: https://doi.org/10.1007/978-3-642-24905-1_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24904-4

  • Online ISBN: 978-3-642-24905-1

  • eBook Packages: EngineeringEngineering (R0)

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