potential methods for decreasing uncertainty in process
Fusion of Information and Analytics: A Discussion on Potential Methods to Cope with Uncertainty in Complex Environments (Big Data and IoT)
... a process to ‘transform data into actionable knowledge’ for sense making, to reduce uncertainty and, thus, to improve dependability in ...making-sense process is highly related to actions of any ...
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Global error estimation in CFD mesh coarsening process for uncertainty quantification methods
... computers, Uncertainty Quantification is becoming an important part of engi- neering ...intrusive Uncertainty Quantification method requires a considerable number of evaluations of the model, meaning that ...
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Methods Of Uncertainty Analysis In Prognostics
... the uncertainty. In this respect, notice that the epistemic uncertainty affecting the results, represented by the spread of the probabilistic distribution of the percentile, can be theoretically reduced by ...
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Uncertainty Analysis Principles and Methods
... The potential drop (or lack of a potential drop) sensed across each element of an analog to digital (A/D) Converter sensing network produces either a "1" or "0" to the ...
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Bayesian Methods For Uncertainty Quantification
... GAUSSIAN PROCESS REGRESSION 2.1 Introduction Uncertainty Quantification (UQ) is a field of great importance in practically all engineering ...of uncertainty from the parameter space to the re- sponse ...
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Uncertainty of Law and the Legal Process.
... 6.4 Advertising the law Posner (1973, p. 430) observes that ’litigation is a more costly method of producing information than advertising,’ leading to the point that the un- certainty in the law could be curbed by ...
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Shackle on time, uncertainty and process
... Here, once again, interpreting Shackle’s contribution as an EPT is helpful both to explain the critique and to suggest a response. Shackle’s principled focus on individual subjectivity raises the threat of solipsism if ...
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Decreasing uncertainty in flood frequency analyses by including historic flood events in an efficient bootstrap approach
... 4 Flood frequency analysis An FFA is performed to determine the FF relation of the dif- ferent data sets (e.g. systematic record, historical record). A probability distribution function is used to fit the annual max- ...
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Multifidelity methods for multidisciplinary design under uncertainty
... Applying Uncertainty Due to Model Discrepancy Step 3: Information Fusion If one or more of the disciplines has a lower fidelity model available, an information fusion step occurs; otherwise, the algorithm proceeds ...
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Methods for estimating uncertainty in factor analytic solutions
... displacement methods in which each resampled data set is decomposed into profile and contribution matrices and then fitted elements in F are ...the process of resampling, decomposing, and displac- ing is ...
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Estimation of uncertainty in flood forecasts - a comparison of methods
... of uncertainty in flood forecasts is moving from the realms of scientific research into ...the uncertainty of the meteorological forecasts that drive the flood forecasts to be assessed and forecast lead ...
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Optimization under uncertainty: modeling and solution methods
... In a stochastic dynamic decision problem we cannot anticipate optimal decisions x ∗ t . The decisions are a stochastic process depending on the realization of the disturbances and the resulting state trajectory. ...
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Distribution-Free Uncertainty Quantification for Kernel Methods
... kernel methods can be a promising alternative to existing con- structions, which arch-typically either build on strong distributional assumptions or on asymptotic theories or only bound the error between the true ...
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Maintenance scheduling and process optimization under uncertainty
... ~ prev,1 = 100 and ~ corr,1 = 20, respectively. The im- pact of this increase to the maintenance schedule is captured quantitatively in the first step of the al- gorithm where the optimal availability threshold val- ues ...
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THE DEVELOPMENT OF METHODS FOR MULTILEVEL MODELING AND MANAGEMENT UNDER UNCERTAINTY
... The source of inconsistency of data of matrices of pair comparisons, which are utilized in the Analytic Hierarchy Process, is determined. The improved procedure of data processing is developed, which provides more ...
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Methods for handling uncertainty within pharmaceutical funding decisions
... the methods and results of which are discussed in comparison with those produced by the ...STA process was developed to produce more timely guidance, but guidance may be delayed if additional analyses are ...
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New methods in the classical economics of uncertainty : Comparing risks
... ` 1 u 0 1 (x) + ` 2 u 0 2 (x) r 1 0 (x)+ ` 2 u 0 2 (x) ` 1 u 0 1 (x) + ` 2 u 0 2 (x) r 2 0 (x)+ −` 1 u 0 1 (x)` 2 u 0 2 (x) ` 1 u 0 1 (x) + ` 2 u 0 2 (x) (r 1 (x)−r 2 (x)) 2 . (14) Assuming that u 1 and u 2 exhibit DARA, ...
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Constraining the Mantle's Rheology Using Methods in Uncertainty Quantification
... the potential for tradeoffs in the rheological parameters, we are able to recover the true values even when all five parameters are ...the uncertainty of the recovered prefactors and rheological parameters ...
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Cost-Sharing Methods for Scheduling Games under Uncertainty
... We consider a very basic resource allocation setting from a game theoretic point of view. There is a collection of m available machines and a set of n users, each of which needs access to one of the machines in order to ...
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Decreasing uncertainty in planning with state prediction
... Figure 1: Proposed approach for decreasing uncertainty in planning. Partially-known states are updated through both sensing actions and prediction. We propose an approach to reduce the uncertainty by ...
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