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The optimal solution condition is analyzed using the production time and the time to eliminate backorders as decision variables instead of the classical decisions variables of lot and backorder quantities.
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In this paper reliability-based optimization problems in structural engineering are formulated on the basis of the classical decision theory.
Finally, we complete our presentation by introducing formal results that relate the proposed framework with approaches of classical decision theory.
The inspection and maintenance processes of a corroded pipeline are generally represented as a classical decision tree, which can clearly describe the decision problem.
Classical decision theory predicts that people should be indifferent to information that is not useful for making decisions, but this model often fails to describe human behavior.
A comprehensive algorithm based on BN and GA is proposed to solve the optimal inspection planning problem based on classical decision trees.
Classical decision theory does not provide a suitable theoretical basis for designing group decision agents because the concept of collective preference is not well defined.
The counterparts to the classical decision rules based on these theories are presented, as well as some decision support methods designed using the approaches presented.
This paper examines the elements of organization-oriented macro decisions as well as process-oriented micro decisions in the RE process and illustrates how to integrate classical decision-making models with RE process models.
On the contrary the classical Decision plan investigates a restricted concentration range necessarily different for each analyte being determined by the individual permitted limit (0.5 1.5 times the permitted limit).
This paper proposes the Hybrid Extreme Rotation Forest (HERF), an innovative ensemble learning algorithm for classification problems, combining classical Decision Trees with the recently proposed Extreme Learning Machines ELMM) training of Neural Networks.
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