Info-gap theory is a methodology for analysis, planning, decision and design under uncertainty. Info-gap theory is based on two decision functions. The robustness function expresses the greatest level of uncertainty at which failure cannot occur. Robustness is a function of the decision variables, and one is inclined to prefer more robust designs over less robust designs. However, a basic theorem of info-gap theory establishes an irrevocable trade-off between robustness to uncertainty, and the quality of outcome: aspirations for quality entail loss of robustness. This trade-off is quantified by the robustness function.
The second design function is the opportuneness function which expresses the least uncertainty which entails the possibility of sweeping success. Uncertainty may be propitious, and the opportuness function evaluates a design's propensity to exploit favorable uncertainty and to lead to outcomes far better than anticipated. Once again a trade-off is involved: greater windfall is possible only at greater uncertainty. Further intuitive discussion of info-gap theory.
Article in Hebrew from Ha'Technion, Fall 2005, on Info-gap decision theory and its applications.
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