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</html><thumbnail_url>https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/decision-making-under-uncertainty-1.jpg</thumbnail_url><thumbnail_width>320</thumbnail_width><thumbnail_height>240</thumbnail_height><description>Almost all (important) decision problems are inevitably subject to some level of uncertainty either about data measurements, the parameters, or predictions describing future evolution. The significance of handling uncertainty is further amplified by the large volume of uncertain data automatically generated by modern data gathering or integration systems. Examples include imprecise sensor measurements in a [&hellip;]</description></oembed>
