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10.1109/SCAN.2006.45guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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Towards Combining Probabilistic, Interval, Fuzzy Uncertainty, and Constraints: An Example Using the Inverse Problem in Geophysics

Published: 26 September 2006 Publication History

Abstract

In many real-life situations, we have several types of uncertainty: measurement uncertainty can lead to proba- bilistic and/or interval uncertainty, expert estimates come with interval and/or fuzzy uncertainty, etc. In many sit- uations, 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 paper, on the example of the seismic inverse prob- lem, we show how to combine these different types of uncer- tainty.
  1. Towards Combining Probabilistic, Interval, Fuzzy Uncertainty, and Constraints: An Example Using the Inverse Problem in Geophysics

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    Published In

    cover image Guide Proceedings
    SCAN '06: Proceedings of the 12th GAMM - IMACS International Symposium on Scientific Computing, Computer Arithmetic and Validated Numerics
    September 2006
    ISBN:076952821X

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    IEEE Computer Society

    United States

    Publication History

    Published: 26 September 2006

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