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Different models of decision making lead to dramatically different analyses and predictions.
In our experiment, we compared two different models of decision making.
Traditionally, most of the proposed probabilistic models of decision under uncertainty rely on numerical measures and representations.
The pedagogic project is analyzed through models of decision making and residential energy use structured by Wilson and Dowlatabadi.
Since the pioneering work of Savage, most models of decision under uncertainty rely on a numerical representation where utility and uncertainty are commensurate.
Our results support recent models of decision making under risk trying to incorporate anticipatory emotions but also uncover some important shortcomings related to the dynamics of emotions.
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A constructed decision tree presents effective models of decision-making, which can be learned to support image classification by the expert.
As traditional economic models of decision-making give way to models with more realistic psychological foundations, there is a pressing need to carefully consider what this 'behavioral' approach implies for public policy.
Two basic models of decision-making stakeholder participation andecision-making stakeholderiscussed in relation to three certification initiatives active in North America—the Canadian Standards Association, the Sustainable Forestry Initiative and the Forest Stewardshiparticipation
In the models of decision-making analysis for seismic design intensity, a reasonable objective function keeps a balance between extra cost of a structure to ensure earthquake resistance and possible earthquake losses.
Many of the standard models of decision-making assume that choice is a linear process [8], [35].
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