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Towards Combining Probabilistic, Interval, Fuzzy Uncertainty, and Constraints: On the Example of Inverse Problem in Geophysics

Year: 2007

Type: article

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, prior knowledge coming from prior interval constraints. In this paper, on the example of the seismic inverse problem, we show how to combine these different types of uncertainty.

Source: scholarworks - UTEP (The University of Texas at El Paso)

Authors: G. Randy Keller, Scott A. Starks, A. A. Velasco, M. G. Averill, Roberto Araiza, Gang Xiang, Владик Крейнович

Language: English

Topic: Seismic Imaging and Inversion Techniques

Subfield: Geophysics

Field: Earth and Planetary Sciences

Domain: Physical Sciences

Open Access status: green

Funders: National Science Foundation, National Aeronautics and Space Administration, U.S. Department of Transportation

Awards: ITR Collaborative Research: GEON: A Research Project to Create Cyberinfrastructure for the Geosciences, PAN AMERICAN CENTER FOR EARTH AND ENVIRONMENTAL ST, Finite Element Methods in Science and Engineering

OpenAlex ID: W70354546

FWCI:

Cites: 21

Cited by: 1

Related to: 10