We study the sensitivity of decision-support models. •. We introduce the notion of decision-network polynomials. •. The absence of differentiability at ...

We show that the input–output mapping in influence diagrams, decision trees and decision networks is piecewise multilinear. The conditions under which ...

We show that the input–output mapping in influence diagrams, decision trees and decision networks is piecewise multilinear. The conditions under which ...

Later on, I researched influence diagrams, decision trees, decision-network polynomials and the sensitivity of decision-support models. I'm interested in ...

Abstract. The effect of inaccuracies in the parameters of a dynamic Bayesian network can be investigated by subjecting the network to a sensitivity anal-.

In this paper, we study this type of ro- bustness for dynamic Bayesian networks (DBNs) in view of the threshold decision-making model. Previous work on ...

In the process of model building and analysis, sensitivity analysis is performed to understand how the optimal solution changes in response to changes in ...

The methodology proposed in this work is based on the combination of a Bayesian network and an economic mathematical programming model, elaborated with the ...

Clinkal decision sciences iR a field of research that aims to analyse and support clinical decision making for individual patients.