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The purpose of this study is first to clarify the fundamental structure of info gap models of uncertainty and their relationship to more classical probabilistic uncertainty models and second to
https://info-gap.technion.ac.il
Info gap theory provides decision support tools for modelling and managing deep uncertainty Three ideas are central in an info gap analysis robustness to uncertainty satisfying critical requirements
https://en.wikipedia.org › wiki › Info-gap_decision_theory
The principal difference between the Maximin model employed by info gap and the various Maximin models employed by robust optimization methods is in the manner in which the total region of
https://link.springer.com › chapter
There are many specific forms of info gap models of uncertainty encoding different information about the uncertainty However they all express the intuition that we do not know how
https://journals.sagepub.com › doi › pdf › ...
Based on experiences of two social science and two design research cases in cellular reprogramming and genomic engineering we illustrate and theorize our methodological observations on what takes
https://dl.acm.org › doi
This paper explores the choice of decision variables to achieve robustness against pernicious uncertainty when interpreting an average in face of uncertain fluctuations of the averaged
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