Parameter study on optimal sampling planning based on value of information Yoshida, Ikumasa
A Method for determining optimal observation placement in Gaussian random field is formulated based on Value of Information (VoI). The proposed method can reflect not only uncertainty but also the consequence of false decision-making. Optimal number of observation is also evaluated based on total cost which is sum of observation cost and VoI. The usefulness of the method is demonstrated through two kinds of numerical examples which are optimal placement with or without existing observation. Parameter study is performed with respect to autocorrelation distance assumed in the Gaussian field.
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