With the recent advances in the field of artificial intelligence, an increasing number of
decision-making tasks are delegated to software systems. A key requirement for the success …

Since their introduction in the mid 1970s, influence diagrams have become a de facto
standard for representing Bayesian decision problems. The need to represent complex …

The paper presents a multi-phase approach for selecting a country in which to locate a
global manufacturing facility. An influence diagram is used to frame the decision. A decision …

The pesticide policy arena is filled with discussion of probabilistic approaches to assess
ecological risk, however, similar discussions about implementing formal probabilistic …

Influence diagrams have become a popular tool for representing and solving complex
decision-making problems under uncertainty. In this paper, we focus on the task of building …

Background. Neonatal jaundice is treated daily at all hospitals. However, the routine,
urgency, and case load of most doctors stop them from carefully analyzing all the factors that …

A model for e-negotiation in a typical procurement process in the construction industry is
presented. The greatest contribution of this paper is a novel model for e-negotiation using an …

1. Introduction (] urrently, cost-benefit (CB) analysis, net prcselltvalue (NPV), and int,
ernalrate of re-turn (IRR) are standard approaches to rank long-rangegovernment t …

Due to the huge size of the tables we manage when dealing with real decision-making
problems under uncertainty, we propose turning them into minimum storage space …

When solving clinical decision-making problems with modern graphical decision-theoretic
models such as influence diagrams, we obtain decision tables with optimal decision …