Info-Gap Decision Theory: Decisions Under Severe Uncertainty

By Y. Ben-Haim. 2006

585 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/16dab1d8ad097ff1eca1ffd0dd7516259255286b

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Citations in the corpus

Adapting to Climate Change: Climate prediction: a limit to adaptation? (2009, unknown): “For instance, information-gap (info-gap) decision theory (Ben-Haim, 2006 ) has been applied to climate impact related areas such as fl ood management (Hine and Hall, 2006 ) and conservation management (Regan et al., 2005 ).”
An uncertain future, deep uncertainty, scenarios, robustness and adaptation: How do they fit together? (2016, background): “Info-Gap (Ben-Haim, 2006), are likely to be less well suited to dealing with highly uncertain futures, as the expected, or “best-”
A metric and frameworks for resilience analysis of engineered and infrastructure systems (2014, background): “In fact, we believe the engineering and infrastructure research and practice 527 community has also recognized these problems and has developed some alternatives to 528 traditional risk-based decision analysis and optimization including info-gap theory [43], [44], 529 and the recognition of deep unc”
Information gap decision theory approach to deal with wind power uncertainty in unit commitment (2017, unknown): “The IGDT 136 [19] is a decision making method that has been utilized in various power system applications 137 like generation asset allocation [20], day-ahead scheduling of electric vehicle aggregators [21], 138 transmission planning [22], bidding strategy [23], restoration of distribution networks ”
Imprecise probabilities in engineering analyses (2013, unknown): “This includes Bayesian approaches [5, 6, 7, 8], interval probabilities [9, 10], random sets [11], evidence theory [12, 13], fuzzy stochastic concepts [14] and info-gap theory [15].”
Decision Making under Deep Uncertainty (2019, unknown): “There are many types of info-gap models of uncertainty (Ben-Haim 2006).”
Agreeing on Robust Decisions: New Processes for Decision Making Under Deep Uncertainty (2014, unknown): “As such, they aim to “assist the decision maker to evaluate options, to develop strategies, and to evoke and evolve preferences in light of the analysis of uncertainties” (Ben-Haim 2006).”
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges (2020, background): “There are few wellknown theories such as three-way decisions [481] and Info-Gap (IG) decision [482], [483] which can”