Second Order Effects in Interval Valued Decision Graph Models
Love Ekenberg, Mats Danielson, Aron Larsson · 2005
Second-order calculations may significantly increase a deci-sion maker’s understanding of a decision situation when han-dling aggregations of imprecise representations, as is the case in decision trees or influence diagrams, while the use of only first-order results gives an incomplete picture. The results apply also to approaches which do not explicitly deal with second-order distributions, instead using only first-order con-cepts such as upper and lower bounds.