The aim of the paper is to draw attention to the possible use of Info-gap theory. This theory assists a decision maker to develop preferences, assess risks and opportunities, or choose sources of information under severe uncertainty. In this paper the characteristic of Info-gap theory is presented and main models are characterized and described. One of the medical decision problem and its alternative development scenarios are presented and solved using Infogap theory. Finally, conclusions and further research directions are presented.
For obvious reasons, models for decision-making under severe uncertainty are austere. Simply put, there is precious little to work with under these conditions. This fact highlights the great importance of utilizing in such cases the ingredients of the mathematical model to the fullest extent, which in turn brings under the spotlight the art of mathematical modeling. In this discussion we examine some of the subtle considerations that are called for in the mathematical modeling of decision-making under severe uncertainty in general, and worst-case analysis in particular. As a case study we discuss the lessons learnt on this front from the Info-Gap experience.
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