Most expert knowledge is ill-defined and heuristic. Therefore, many present-day rule-based
expert systems include a mechanism for modeling and manipulating imprecise knowledge. …

This manuscript presents the idea of providing dairy farmers with probability distributions to
support decisions on mastitis management and illustrates its feasibility by two applications. …

Naive Bayesian classifiers have been applied successfully for solving diagnostic problems
in the medical domain, but are relatively new to the veterinary field. To demonstrate their …

As computer supported decision making is becoming increasingly important and popular, it
is crucial that the underlying mathematical models can be thoroughly validated before …

Validation of a clinical decision-support system for the early detection of classical swine fever
Food and Agriculture Organization of the United Nations Discover About FAO News Multimedia …

Development of a clinical decision-support system for early detection of low pathogenic avian
influenza outbreaks in poultry wur logo Staff Publications Staff Publications external user …

In this paper, the construction of decision-theoretic expert systems in collaboration with domain
experts is discussed. In particular, the role of domain models in guiding the knowledge-…

Nowadays, Bayesian networks are seen by many researchers as standard tools for reasoning
with uncertainty. Despite the fact that Bayesian networks are graphical representations, …

Error and uncertainty in remotely sensed data come from several sources, and can be
increased or mitigated by the processing to which that data is subjected (eg resampling, …