cost-effectiveness data is useful for use in priority setting decisions in order to improve the efficiency of resources used. this paper thereby responds to eckard et al. which addressed the use of cost-effectiveness data in the actual prioritization decisions in the swedish national clinical guidelines for heart diseases. based on a set of experiences on the use of economic evaluation in prior...

— A finite-state, discrete-time Markovian décision process, in which, each action in each state is a feasible solution to a state dependent assignment problème is considered, The objective is to maximize the additive rewards realized by the assignments over an infinité time horizon. In the undiscounted case, the average gain per transition and in the discounted case, the discounted total gain r...

This article contends that it is time to take a critical look at a series of binary categories which have dominated the scholarly and reform epistemologies of the sentencing decision process. These binaries are: rules versus discretion; reason versus emotion; offence versus offender; normative principles versus incoherence; aggravating versus mitigating factors; and aggregate/tariff consistency...

In this paper, we consider the problem of optimizing the quantiles of the cumulative rewards of Markov Decision Processes (MDP), to which we refers as Quantile Markov Decision Processes (QMDP). Traditionally, the goal of a Markov Decision Process (MDP) is to maximize expected cumulative reward over a defined horizon (possibly to be infinite). In many applications, however, a decision maker may ...

We propose decision-oriented process modelling as a step towards human-centered process management, and demonstrate some implications of this model for the interaction between process modelling, process enactment, and process performance in a CASE environment. We also discuss the potential our approach offers for experiencebased process improvement.