Abstract
The paper outlines a reasonable modification of an approach developed in the framework of imprecise prevision theory and adapted to the available information about some features of probability density functions. This reduces the uncertainty associated with risk analysis operations and as a result leads to obtaining the close interval estimations of statistical characteristics necessary for decision support.
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Keywords
- Imprecise Probability
- Multivariable Function
- Initial Problem Statement
- NATO Advance Research Workshop
- Density Derivative
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Krymsky, V.G. (2008). Attracting Additional Information for Enhancing the Uncertainty Model. In: Linkov, I., Ferguson, E., Magar, V.S. (eds) Real-Time and Deliberative Decision Making. NATO Science for Peace and Security Series C: Environmental Security. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-9026-4_16
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DOI: https://doi.org/10.1007/978-1-4020-9026-4_16
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-9025-7
Online ISBN: 978-1-4020-9026-4
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