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Therefore, it is important to solve such uncertain optimization problems for decision maker.
This paper is devoted to the study of bi-criteria optimization problems for decision trees.
Previous studies have shown that most people do not correctly apply Bayesian inference to solve probabilistic problems for decision making under uncertainty.
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Owing to this fact, controlling and maintaining the inventory of deteriorating items becomes a challenging problem for decision makers.
It would, however, totally miss the point to regard uncertainty primarily as a problem for decision makers.
The contamination of these aquifers has also added another dimension for the problem for decision maker and politicians (Al-Abadi 2012).
The contamination of these aquifers has also added another dimension for the problem for decision maker and politicians (Jabar Al-Saydi, Expert, Head of Groundwater Commission of Groundwater/Basra Branch, personal communication).
We design a generic fitness function for validation of input specification, then use it to develop two genetic algorithm wrappers: one for the variable selection problem for decision tree inducers and one for the variable ordering problem for Bayesian network structure learning.
The nature of ignorance is a serious philosophical problem; for decision-makers, it is a knotty practical one.
This reflects a key problem for decision-makers in health care.
An emergent problem for decision-makers is the diversity and abundance of information available for vulnerability assessments.
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CEO of Professional Science Editing for Scientists @ prosciediting.com