Approaches for handling uncertainty
A first approach for handling uncertainty in citizen science
... inherent uncertainty, and not a single measure as occurs in binary ...fuzzy approaches for the addition of information regarding either experts’ or amateurs’ individual ...
8
Handling Uncertainty: An Extension of DL-Lite with Subjective Logic
... However, this is where the potential of Subjective Logic becomes clear, since such an opinion would reject any other option as the cause of the discomfort. By choosing to have a buffer of 0.1 degree in our ...
12
Approaches for Managing Uncertainty in Learning Management Systems
... Classical probability, Bayes theory, Dempster–Shafer theory and fuzzy set presented by previous researches for handling uncertainty information in expert systems, but these models are cannot express ...
10
Second Order Cone Programming Approaches for Handling Missing and Uncertain Data
... Outline: The paper is organised as follows: Section 2 introduces the problem of classification with uncertain data. In section 3 we make use of Chebyshev inequalities for multivariate random variable to obtain an SOCP ...
32
Robust and stochastic approaches to network capacity design under demand uncertainty
... under uncertainty highly imperative [ 34 ...the uncertainty set (”scenario set”) [ 77 ...and handling uncertainty decision models [ 5 ...
180
Handling respondent uncertainty in Choice Experiments: Evaluating recoding approaches against explicit modelling of uncertainty
... for uncertainty in choices in CE ...preference uncertainty, it is obvious that much research still remains to be done in this ...preference uncertainty offers a line of research which can contribute ...
30
Metaheuristics for multiobjective optimisation: Cooperative approaches, uncertainty handling and application in logistics
... Arnaud Liefooghe Received: 21 February 2010 / Revised: 4 April 2010 © Springer-Verlag 2010 Abstract This is a summary of the author’s PhD thesis supervised by Laetitia Jourdan and El-Ghazali Talbi and defended on 8 ...
5
Handling of uncertainty in thermodynamic data
... former approaches for uncertainty assessment has a relevant impact on the uncertainty of the PA solubility ...the uncertainty analysis used in the Simple Functions Spreadsheet follows error ...
32
Uncertainty handling during nuclear accidents.
... THE ADMLC PROJECT AND CURRENT UK PRACTICE The work reported here was part of a project funded by the UK Atmospheric Dispersion Liaison Committee (ADMLC). The project’s focus was on how information would be presented to ...
10
Uncertainty handling in the data mining process with fuzzy logic
... two approaches: i) classification based on multi-dimensional clusters, ii) classification based on one-dimensional clusters, while we described an experimental study we have carried out in order to evaluate these ...
6
Uncertainty handling in named entity extraction and disambiguation for informal text
... some approaches that mimic the human way of recognition and disambiguation of named entities especially for domains that lack formal sentence ...of handling the uncertainty involved in extraction to ...
19
Approaches to selecting information systems projects under uncertainty
... for handling the IS project evaluation and selection ...analysis approaches have different characteristics, different requirements for information and information type as well as different required stages ...
154
A run-to-run framework for prandial insulin dosing: handling real-life uncertainty
... The rationale for this performance measure is explained by the blood glucose response seen for different doses. For a bolus that is correctly dosed, the peak glucose excursion is expected to be around 60 min; and to drop ...
20
Bayesian Approaches to Handling Missing Data
... Bayesian Missing Data Course (Lecture 5) Comparison with alternative methods 28 / 37.. Practical advice[r] ...
178
Uncertainty handling in surrogate assisted optimisation of games
... A schematic depiction of the framework can be found in figure 4.7. When starting an experiment, the optimiser is set up, as well as a function suite. The suite will then auto- matically handle iterating through the ...
176
Multifidelity approaches for optimization under uncertainty
... under uncertainty; model reduction; optimization; probabilistic meth- ods; stochastic problems ...perform uncertainty propa- ...when uncertainty propagation is nested within another layer of analysis ...
27
Multidelity approaches for design under uncertainty
... under uncertainty in a large-scale high-fidelity engineering ...under uncertainty in large-scale high- fidelity engineering ...based approaches can be generalized to other statistical methods beyond ...
117
On the different approaches of measuring uncertainty shocks
... reflects uncertainty and innovations to the conditional variance mirror uncertainty shocks in a ...whether uncertainty shocks have an effect on profit growth or stock returns and compare them to the ...
10
Methods for handling uncertainty within pharmaceutical funding decisions
... Introduction to health economic evaluation The finite budget for health care in conjunction with the number of potential treatments results in a position where not all treatments can be funded. Consequently there is a ...
11
Handling location uncertainty in probabilistic location-dependent queries
... • We perform an extensive experimental evaluation where the e fficiency of the described method for the uniform distribution can be appreciated. The structure of the rest of this paper is as follows. In Sec- tion 2, we ...
15