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Showing 1 to 11 of 11 for “"Importance measure"”.

  1. Kernel Machines are Not Black Boxes - On the Interpretability of Kernel-based Nonparametric Models

    … however questionable; permutation-based variable importance, for example, is one approach for interpreting various nonparametric models. Unfortunately, besides being computationally intensive, permutation-based variable importance is merely a predictor importance measure for supervised regression …

    toronto-retro Repository record for Kernel Machines are Not Black Boxes - On the Interpretability of Kernel-based Nonparametric Models (opens in a new tab)

  2. Including model uncertainty in risk-informed decision-making

    … We use the Risk Achievement Worth (RAW) importance measure with respect to both the core damage frequency (CDF) and the change in core damage frequency (ACDF) to identify potentially important basic events. We cross-check these with generically important model uncertainties. Then, …

    mit Repository record for Including model uncertainty in risk-informed decision-making (opens in a new tab)

  3. A framework for nuclear facility safeguard evaluation using probabilistic methods and expert elicitation

    … for the decision makers to have a consistent measure to verify safeguards level of protection, and to effectively improve the current safeguard scheme. The framework presented in this study provides a systematic method for safeguard evaluation of any nuclear facility. Using scenario analysis …

    mit Repository record for A framework for nuclear facility safeguard evaluation using probabilistic methods and expert elicitation (opens in a new tab)

  4. Statistical models for match prediction and decision making in sport

    … set a target at declaration. We also develop a measure of the importance of a matchin a tournament. Such a measure may be of use in tournament design.Decision-making on the timing of a declaration in test cricket is considered usingmatch outcome probabilities given the state of a game. Logistic …

    salford Repository record for Statistical models for match prediction and decision making in sport (opens in a new tab)

  5. Application of the technology neutral framework to sodium cooled fast reactors

    … economics is proposed where systems of low risk-importance are identified as candidates for removal, simplification, or removal from safety grade. Seismic risk dominates these designs and is found to be a limiting factor when applying the TNF. The contributions of this thesis are the following: …

    mit Repository record for Application of the technology neutral framework to sodium cooled fast reactors (opens in a new tab)

  6. Dynamic Criticality Analysis of Industrial Assets and System

    … in this thesis to characterize both asset impact measure and criteria weights as dynamic variables that are dependent on the states of influence factors. Multi state importance measure (MSS-IM) is used to describe assets whose performance and impact measures are not simply binary (working; …

    cambridge Repository record for Dynamic Criticality Analysis of Industrial Assets and System (opens in a new tab)

  7. System reliability analysis methods for rapid multi-scale network risk assessment and decision making

    … for random samples of hazard intensity measures and corresponding component status. This simulation-based approach allows for straightforward applications of deterministic network analysis algorithms, yet hampers rapid risk assessment and effective decision-making. Even though a …

    uiuc Repository record for System reliability analysis methods for rapid multi-scale network risk assessment and decision making (opens in a new tab)

  8. Integrated probabilistic risk assessment (I-PRA) methodology and computational platform for fire PRA of nuclear power plants

    … risk acceptance criteria. 2. Develops a Global Importance Measure (Global IM) method for the I-PRA framework to generate the ranking of the underlying risk-contributing factors. This Global IM method is capable of accounting for (i) uncertainty of the input parameters, (ii) nonlinearity and …

    uiuc Repository record for Integrated probabilistic risk assessment (I-PRA) methodology and computational platform for fire PRA of nuclear power plants (opens in a new tab)

  9. Theorizing and quantifying organizational and social factors in probabilistic risk assessment of complex systems

    … DT-SITE, conducting data analytics to refine and measure the causal factors of SoTeRiA based on system-specific historical event databases and using Bayesian analysis to update the baseline quantification. The methdology is applied using NPP database. d. Applies DT-BASE to theorize and quantify a …

    uiuc Repository record for Theorizing and quantifying organizational and social factors in probabilistic risk assessment of complex systems (opens in a new tab)

  10. Development and application of new system reliability analysis methods for complex infrastructure systems

    … not only system reliability but also component importance measures and parameter sensitivities of system reliability, which are essential metrics for risk-informed decision-making processes. The MSR method is applied to a bridge transportation network, a highway bridge structural system, and …

    uiuc Repository record for Development and application of new system reliability analysis methods for complex infrastructure systems (opens in a new tab)