Decision making with limited statistical characterization and limited data is challenging. The typical statistical-machine-learning approaches would call for migrating the experience of a …
In practice, we often make decisions under uncertainties with known distributions or even without knowing distributions. This study explores decision learning and decision making in …
In the real world, uncertainty is a common challenging problem faced by individuals, organizations, and firms. Decision quality is highly impacted by uncertainty because …