Relevant bibliographies by topics / Application uncertainty

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Application uncertainty'

Author: Grafiati
Published: 5 June 2025
Last updated: 24 June 2025

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Journal articles on the topic "Application uncertainty"

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Macdonald, Iain, and Paul Strachan. "Practical application of uncertainty analysis." Energy and Buildings 33, no. 3 (2001): 219–27. http://dx.doi.org/10.1016/s0378-7788(00)00085-2.

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Coleman, Hugh W., and W. Glenn Steele. "Engineering application of experimental uncertainty analysis." AIAA Journal 33, no. 10 (1995): 1888–96. http://dx.doi.org/10.2514/3.12742.

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Pronskikh, Vitaly. "Model uncertainty in accelerator application simulations." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 977 (October 2020): 164299. http://dx.doi.org/10.1016/j.nima.2020.164299.

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Payo, A., A. Baquerizo, and M. Losada. "Uncertainty assessment: Application to the shoreline." Journal of Hydraulic Research 46, sup1 (2008): 96–104. http://dx.doi.org/10.1080/00221686.2008.9521944.

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Dantan, J. Y., J. P. Vincent, G. Goch, and L. Mathieu. "Correlation uncertainty—Application to gear conformity." CIRP Annals 59, no. 1 (2010): 509–12. http://dx.doi.org/10.1016/j.cirp.2010.03.040.

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Jaka, Zgajnar, and Kavcic Stane. "Optimal allocation of production resources under uncertainty: Application of the muliticriteria approach." Agricultural Economics (Zemědělská ekonomika) 62, No. 12 (2016): 556–65. http://dx.doi.org/10.17221/238/2015-agricecon.

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Sahid, Hana' Hamidah. "It’s A Match: Strategi Pengurangan Ketidakpastian oleh Pengguna Perempuan di Aplikasi Kencan Online Bumble." PERSPEKTIF 12, no. 4 (2023): 1336–43. http://dx.doi.org/10.31289/perspektif.v12i4.9873.

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Every interpersonal relationship always goes through a stage of reducing uncertainty so that an interpersonal relationship can develop. This includes interpersonal relationships in online dating applications. This study examines the strategies used by female users to reduce the uncertainty in online dating application Bumble. Bumble was chosen as it’s the only online dating application that put woman in charge to make the first move. Uncertainty reduction theory was used to analyse the findings. Three informants were interviewed and literature studies from previous studies in similar topics were used to gain further information. The result shows that each informant has different approach and strategies to reduce the uncertainty while using online dating application Bumble. The strategies help each informant to decide whether to continue or stop the interaction while using Bumble.
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Ktata, Ismail, Fakhreddine Ghaffari, Bertrand Granado, and Mohamed Abid. "Dynamic Application Model for Scheduling with Uncertainty on Reconfigurable Architectures." International Journal of Reconfigurable Computing 2011 (2011): 1–15. http://dx.doi.org/10.1155/2011/156946.

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Applications executed on embedded systems require dynamicity and flexibility according to user and environment needs. Dynamically reconfigurable architecture could satisfy these requirements but needs efficient mechanisms to be managed efficiently. In this paper, we propose a dedicated application modeling technique that helps to establish a predictive scheduling approach to manage a dynamically reconfigurable architecture named OLLAF. OLLAF is designed to support an operating system that deals with complex embedded applications. This model will be used for a predictive scheduling based on an early estimation of our application dynamicity. A vision system of a mobile robot application has been used to validate the presented model and scheduling approach. We have demonstrated that with our modeling we can realize an efficient predictive scheduling on a robot vision application with a mean error of 6.5%.
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Mao, Yifan. "Research on Uncertainty and its Application in Financial Markets." Highlights in Business, Economics and Management 24 (January 22, 2024): 1127–32. http://dx.doi.org/10.54097/w30nsc97.

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This paper explores the theoretical frameworks and practical implications of uncertainty in economics and decision-making. And also delves into categorical uncertainty, including Economic Policy Uncertainty (EPU), Climate Policy Uncertainty (CPU), and Trade Policy Uncertainty (TPU). These forms of uncertainty can have profound effects on economic activities, market behaviour, and investment decisions. Furthermore, the paper discusses an innovative approach to measuring uncertainty using online big data, particularly Twitter-based uncertainty indices. These indices provide real-time insights into public sentiment and have been shown to impact stock market forecasts, although they are not without limitations, such as potential manipulation and data representativeness issues. The impact of uncertainty on financial markets is multifaceted, affecting different asset classes differently. High uncertainty can lead to increased volatility in stock markets, while oil and digital currency markets are also sensitive to geopolitical and economic uncertainties. The role of technology and algorithmic trading in uncertain markets is highlighted, with High-Frequency Trading (HFT) becoming increasingly prevalent. HFT can provide speed and efficiency but is a subject of debate regarding its impact on market stability. Future research trends may continue to focus on the intersection of technology and market uncertainty, seeking to better understand its implications and potential risks.
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He, Qin Shu, Shi Fu Xiao, and Xin En Liu. "Application of ANN and SVM for Uncertainty Quantification and Propagation." Advanced Materials Research 230-232 (May 2011): 192–96. http://dx.doi.org/10.4028/www.scientific.net/amr.230-232.192.

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All measurements have error that obscures the true value. The error creates uncertainty about the quality of the measured value, which is requiring testing and calibration laboratories to provide estimates of uncertainty with their measurements. Measurement uncertainties include input uncertainty, the propagation of input uncertainty, the output uncertainty and the systematic error uncertainty. Several methods for estimating the uncertainty of measurements have been introduced for different kinds of uncertainty quantification, and two data mining methodologies-Artificial Neural Network (ANN) and Support Vector Machine (SVM) are used to build the unknown propagation model. This paper will discuss the quantification of measurement uncertainty (MU) and the separation of various uncertainty sources to MU and will discuss the advantages and limitations of SVM and ANN for building the propagation model of MU.
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Dissertations / Theses on the topic "Application uncertainty"

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Hernández, Jiménez Enric. "Uncertainty and indistinguishability. Application to modelling with words." Doctoral thesis, Universitat Politècnica de Catalunya, 2007. http://hdl.handle.net/10803/6648.

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El concepte d'igualtat és fonamental en qualsevol teoria donat que és una noció essencial a l'hora de discernir entre els elements objecte del seu estudi i possibilitar la definició de mecanismes de classificació.<br/><br/>Quan totes les propietats són perfectament precises (absència d'incertesa), hom obtè la igualtat clàssica a on dos objectes són considerats iguals si i només si comparteixen el mateix conjunt de propietats. Però, què passa quan considerem l'aparició d'incertesa, com en el cas a on els objectes compleixen una determinada propietat només fins a un cert grau?. Llavors, donat que alguns objectes seran més similars entre si que d'altres, sorgeix la necessitat de una noció gradual del concepte d'igualtat.<br/><br/>Aquestes consideracions refermen la idea de que certs contextos requereixen una definició més flexible, que superi la rigidesa de la noció clàssica d'igualtat. Els operadors de T-indistingibilitat semblen bons candidats per aquest nou tipus d'igualtat que cerquem.<br/><br/>D'altra banda, La Teoria de l'Evidència de Dempster-Shafer, com a marc pel tractament d'evidències, defineix implícitament una noció d'indistingibilitat entre els elements del domini de discurs basada en la seva compatibilitat relativa amb l'evidència considerada. El capítol segon analitza diferents mètodes per definir l'operador de T-indistingibilitat associat a una evidència donada.<br/><br/>En el capítol tercer, després de presentar un exhaustiu estat de l'art en mesures d'incertesa, ens centrem en la qüestió del còmput de l'entropia quan sobre els elements del domini s'ha definit una relació d'indistingibilitat. Llavors, l'entropia hauria de ser mesurada no en funció de l'ocurrència d'events diferents, sinó d'acord amb la variabilitat percebuda per un observador equipat amb la relació d'indistingibilitat considerada. Aquesta interpretació suggereix el "paradigma de l'observador" que ens porta a la introducció del concepte d'entropia observacional.<br/><br/>La incertesa és un fenomen present al món real. El desenvolupament de tècniques que en permetin el tractament és doncs, una necessitat. La 'computació amb paraules' ('computing with words') pretén assolir aquest objectiu mitjançant un formalisme basat en etiquetes lingüístiques, en contrast amb els mètodes numèrics tradicionals. L'ús d'aquestes etiquetes millora la comprensibilitat del llenguatge de representació del<br/>coneixement, a l'hora que requereix una adaptació de les tècniques inductives tradicionals.<br/><br/>En el quart capítol s'introdueix un nou tipus d'arbre de decisió que incorpora les indistingibilitats entre elements del domini a l'hora de calcular la impuresa dels nodes. Hem anomenat arbres de decisió observacionals a aquests nou tipus, donat que es basen en la incorporació de l'entropia observacional en la funció heurística de selecció d'atributs. A més, presentem un algorisme capaç d'induir regles lingüístiques mitjançant un tractament adient de la incertesa present a les etiquetes lingüístiques o a les dades mateixes. La definició de l'algorisme s'acompanya d'una comparació formal amb altres algorismes estàndards.<br>The concept of equality is a fundamental notion in any theory since it is essential to the ability of discerning the objects to whom it concerns, ability which in turn is a requirement for any classification mechanism that might be defined. <br/><br/>When all the properties involved are entirely precise, what we obtain is the classical equality, where two individuals are considered equal if and only if they share the same set of properties. What happens, however, when imprecision arises as in the case of properties which are fulfilled only up to a degree? Then, because certain individuals will be more similar than others, the need for a gradual notion of equality arises.<br/><br/>These considerations show that certain contexts that are pervaded with uncertainty require a more flexible concept of equality that goes beyond the rigidity of the classic concept of equality. T-indistinguishability operators seem to be good candidates for this more flexible and general version of the concept of equality that we are searching for.<br/><br/>On the other hand, Dempster-Shafer Theory of Evidence, as a framework for representing and managing general evidences, implicitly conveys the notion of indistinguishability between the elements of the domain of discourse based on their relative compatibility with the evidence at hand. In chapter two we are concerned with providing definitions for the T-indistinguishability operator associated to a given body of evidence.<br/><br/>In chapter three, after providing a comprehensive summary of the state of the art on measures of uncertainty, we tackle the problem of computing entropy when an indistinguishability relation has been defined over the elements of the domain. Entropy should then be measured not according to the occurrence of different events, but according to the variability perceived by an observer equipped with indistinguishability abilities as defined by the indistinguishability relation considered. This idea naturally leads to the introduction of the concept of observational entropy.<br/><br/>Real data is often pervaded with uncertainty so that devising techniques intended to induce knowledge in the presence of uncertainty seems entirely advisable.<br/>The paradigm of computing with words follows this line in order to provide a computation formalism based on linguistic labels in contrast to traditional numerical-based methods.<br/>The use of linguistic labels enriches the understandability of the representation language, although it also requires adapting the classical inductive learning procedures to cope with such labels.<br/><br/>In chapter four, a novel approach to building decision trees is introduced, addressing the case when uncertainty arises as a consequence of considering a more realistic setting in which decision maker's discernment abilities are taken into account when computing node's impurity measures. This novel paradigm results in what have been called --observational decision trees' since the main idea stems from the notion of observational entropy in order to incorporate indistinguishability concerns. <br/>In addition, we present an algorithm intended to induce linguistic rules from data by properly managing the uncertainty present either in the set of describing labels or in the data itself. A formal comparison with standard algorithms is also provided.
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CARNEIRO, MARIA CELINA TAVARES. "OPTMIZATION UNDER UNCERTAINTY: AN INTEGRATED OIL CHAIN APPLICATION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2008. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=12094@1.

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Nos últimos anos, nota-se uma forte tendência no Brasil de oferta de petróleos cada vez mais pesados e ácidos em contraposição a uma crescente demanda de derivados mais leves dentro de especificações mais rígidas. Dessa forma, o Brasil se depara com a necessidade em adaptar suas refinarias e rede logística a esse novo perfil. Nesse contexto é importante a avaliação da cadeia integrada de petróleo e derivados no longo prazo, visando auxiliar a tomada de decisão em relação aos projetos que devem ser considerados na carteira de investimentos. Por se tratar de uma decisão de longo prazo, é importante levar em consideração as incertezas relacionadas aos parâmetros considerados, como: oferta e preço de petróleos, demanda e preço de derivados e outros. Assim, tornase possível a avaliação de uma carteira de projetos de investimentos considerando os riscos existentes. Este trabalho propõe apresentar uma metodologia de otimização sob incerteza, que utilize programação estocástica em conjunto com técnicas de otimização de portfólio, aplicada ao estudo de uma carteira de investimentos na área de abastecimento de petróleo. O estudo é focado em um modelo de programação linear que maximiza o resultado presente líquido esperado ao longo de um horizonte de tempo estipulado, dado um nível de risco aceitável. Foram propostas duas abordagens de medida de risco: Conditional Value-at-Risk (CVaR) e Minimax. A partir dos resultados numéricos, ficou comprovado que a decisão otimizada de investimento na área de petróleo e derivados apresenta variação com o nível de risco que se pretende assumir.<br>Over the last years, a strong trade-off between crude oil offer and oil product demand has been posed in Brazil: while the oil produced in Brazil is getting heavier, its` products must be light, constrained by rigid specifications. Hence, the country needs to adapt its refineries and logistic network to this new profile. In this context, a long term analysis of the integrated oil chain is a relevant task. This analysis helps the decision maker to choose projects that should be considered in portfolio investment. During the decision process, it is important to take into account uncertainties related to some parameters: crude oil prices, crude oil offer, product prices, expected demand and others. By doing that, it is possible for the analyst to evaluate a project portfolio considering risks. The present work proposes a methodology for optimization under uncertainty, applied to the study of a portfolio investment for the downstream oil industry, employing both stochastic programming and portfolio optimization techniques. The study is focused on a linear programming model that maximizes the expected net present value (NPV) along the specified time horizon and risk level. Two approaches have been proposed to measure risk: Conditional Value-at-Risk (CVaR) and Minimax. The results show that the investment choice in the oil chain varies with the imposed risk level.
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Davis, Joshua Daniel. "Motion planning under uncertainty: application to an unmanned helicopter." Texas A&M University, 2006. http://hdl.handle.net/1969.1/4280.

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A methodology is presented in this work for intelligent motion planning in an uncertain environment using a non-local sensor, like a radar sensor, that allows the sensing of the environment non-locally. This methodology is applied to an unmanned helicopter navigating a cluttered urban environment. It is shown that the problem of motion planning in a uncertain environment, under certain assumptions, can be posed as the adaptive optimal control of an uncertain Markov Decision Process, characterized by a known, control dependent system, and an unknown, control independent environment. The strategy for motion planning then reduces to computing the control policy based on the current estimate of the environment, also known as the "certainty equivalence principle" in the adaptive control literature. The methodology allows the inclusion of a non-local sensor into the problem formulation, which significantly accelerates the convergence of the estimation and planning algorithms. Further, the motion planning and estimation problems possess special structure which can be exploited to reduce the computational burden of the associated algorithms significately. As a result of the methodology developed for motion planning in this thesis, an unmanned helicopter is able to navigate through a partially known model of the Texas A&M campus.
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Wang, Jun. "Generalized multi objective control with application to vehicle suspension systems." Thesis, University of Leeds, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.275799.

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Agarwal, Anna. "Decision making under epistemic uncertainty : an application to seismic design." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/43052.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2008.<br>Includes bibliographical references (leaves 90-92).<br>The problem of accounting for epistemic uncertainty in risk management decisions is conceptually straightforward, but is riddled with practical difficulties. Simple approximations are often used whereby future variations in epistemic uncertainty are ignored or worst-case scenarios are postulated. These strategies tend to produce sub-optimal decisions. We develop a framework based on Bayesian decision theory that accounts for the random temporal evolution of the epistemic uncertainty and minimum safety standards, and illustrate the effects of these factors for the case of optimal seismic design of buildings. Results show that when temporal fluctuations in the epistemic uncertainty and regulatory safety constraints are included, the optimal level of seismic protection exceeds the normative level at the time of construction. We do a sensitivity analysis concerning the repair and retrofit strategies that control the repair actions following earthquake damages and the amount of structural upgrading in the case of non-compliance with the safety standards. We see, that just like the optimal initial design system, upgrades should also be made conservatively to provide a margin of safety against future adverse changes in the epistemic uncertainty and regulations. The optimal degree of conservatism depends in a complex way on the cost of providing additional seismic protection, increase in earnings from additional seismic protection, costs of repairs and upgrading, seismicity of the region and the volatility of both the estimated hazard (due to changes in epistemic uncertainty) and the regulatory environment. The effect of all these influencing factors is studied through an extreme sensitivity analysis. We argue that the optimal Bayesian decisions do not depend on the aleatory or epistemic nature of the uncertainties, but only on the total (epistemic plus aleatory) uncertainty and how that total uncertainty varies randomly during the lifetime of the project.<br>by Anna Agarwal.<br>S.M.
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Elsakout, Doaa Mostafa Ali. "Application of multilevel concepts for uncertainty quantification in reservoir simulation." Thesis, Heriot-Watt University, 2016. http://hdl.handle.net/10399/3146.

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Uncertainty quantification is an important task in reservoir simulation and is an active area of research. The main idea of uncertainty quantification is to compute the distribution of a quantity of interest, for example oil rate. That uncertainty, then feeds into the decision making process. A statistically valid way of quantifying the uncertainty is a Markov Chain Monte Carlo (MCMC) method, such as Random Walk Metropolis (RWM). MCMC is a robust technique for estimating the distribution of the quantity of interest. RWM is can be prohibitively expensive, due to the need to run a huge number of realizations, 45% - 70% of these may be rejected and, even for a simple reservoir model it may take 15 minutes for each realization. Hamiltonian Monte Carlo accelerates the convergence for RWM but may lead to a large increase computational cost because it requires the gradient. In this thesis, we present how to use the multilevel concept to accelerate convergence for RWM. The thesis discusses how to apply Multilevel Markov Chain Monte Carlo (MLMCMC) to uncertainty quantification. It proposes two new techniques, one for improving the proxy based on multilevel idea called Multilevel proxy (MLproxy) and the second one for accelerating the convergence of Hamiltonian Monte Carlo is called Multilevel Hamiltonian Monte Carlo (MLHMC). The idea behind the multilevel concept is a simple telescoping sum: which represents the expensive solution (e.g., estimating the distribution for oil rate on finest grid) in terms of a cheap solution (e.g., estimating the distribution for oil rate on coarse grid) and `correction terms', which are the difference between the high resolution solution and a low resolution solution. A small fraction of realizations is then run on the finer grids to compute correction terms. This reduces the computational cost and simulation errors significantly. MLMCMC is a combination between RWM and multilevel concept, it greatly reduces the computational cost compared to the RWM for uncertainty quantification. It makes Monte Carlo estimation a feasible technique for uncertainty quantification in reservoir simulation applications. In this thesis, MLMCMC has been implemented on two reservoir models based on real fields in the central Gulf of Mexico and in North Sea. MLproxy is another way for decreasing the computational cost based on constructing an emulator and then improving it by adding the correction term between the proxy and simulated results. MLHMC is a combination of Multilevel Monte Carlo method with a Hamiltonian Monte Carlo algorithm. It accelerates Hamiltonian Monte Carlo (HMC) and is faster than HMC. In the thesis, it has been implemented on a real field called Teal South to assess the uncertainty.
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Chakraborty, Anirban. "Map Resolutions considering Data Uncertainty with Application to Seismic Microzonation." Doctoral thesis, Kyoto University, 2021. http://hdl.handle.net/2433/263612.

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Suwanapal, Panthot. "Spatial energy system modelling under uncertainty with application to Thailand." Thesis, Imperial College London, 2010. http://hdl.handle.net/10044/1/6101.

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The current awareness of the depletion in the fossil fuels reserves and the effect of green house gases (GHG) toward global warming has motivated many researchers in the area of energy system modelling. This thesis presents mathematical models to aid decision makers in determining the optimal spatially aggregated energy supply chain network to satisfy the future energy demand at the national level. Firstly, the energy planning problem using Thailand’s energy system as the case study is addressed by the development of a multi-period environmentally conscious deterministic energy system optimisation model. The model is formulated as a linear programming (LP) model that can address decision-making of the optimal future energy supply chain network at the national level with consideration of the scale of GHG emissions of the network. The determination of data required for the development of the proposed model is also tackled. Secondly, the reformulation of the multi-period deterministic model as a three-staged stochastic energy system optimisation model that can support decision-making under uncertainty in energy demand is addressed. Further extensions to the deterministic model include its reformulation to take into account the geographical location of an energy system. The linear programming model is reformulated as a mixed integer linear programming model (MILP) that can incorporated the spatial nature of the energy system as part of the decision-making process. The decisions to be determined include: (1) scale, type and location of energy production facility, (2) scale and type of resource usage in each location, (3) flow of resources and energy between grids to satisfy the energy demand throughout the planning horizon. Next, the Biomass-to-Energy supply chain network over long-term planning with application to Thailand is focused, based on the spatial MILP formulation. A higher complexity of geographical location is addressed as well as increases in types of biomass and biomass thermal conversion technologies. The objective function is modified to maximise the total network profit rather than minimising the total network costs. Finally, the long-term planning of a Waste-to Energy supply chain network with application to Thailand is investigated. The Waste-to-Energy system is addressed in view of investors as decision-makers as the objective function is also to maximise the total profit of the network. Different network structures of converting waste into energy are applied. The problem is also formulated as a MILP problem. This thesis reveals that, based on the model assumptions, the optimal environmentally conscious energy supply chain networks rely heavily on the utilisation of renewable resources throughout the country. With the abundant amount of biomass and waste resources available in Thailand, Biomass and Waste-to-Energy projects have a high potential in diversifying the use of fossil fuels as primary energy sources in Thailand.
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Dave, Kaushali. "Preference elicitation and preference uncertainty : an application to noise valuation." Thesis, University of Leeds, 2011. http://etheses.whiterose.ac.uk/2593/.

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The valuation of environmental impacts through Choice Experiments (CE) has been increasing applied in order to estimate the cost of environmental externalities. While this valuation technique offers several advantages over other methods, a crucial problem lies in representing the attributes in a manner that can be easily understood by the respondents. Another problem associated with this valuation technique is the assumption that respondents have known and consistent preferences. This thesis relaxes the restraint by allowing respondents to indicate their level of preference certainty. The effect of different attribute representation techniques especially in context of traffic noise is also examined in relation to the level of preference certainty, while the effect of preference elicitation methods on certainty levels is also scrutinised. Several CE surveys were conducted to evaluate the impact of traffic noise under a residential setting. In order to examine the effects of attribute representation method on the respondents, two different surveys were undertaken using the location and the linguistic representation techniques. This has been carried out in conjunction with three different methods of preference elicitation: the binary choice, one stage Likert and two stage Likert methods. Thus for each of the attribute representation methods, different preference elicitation techniques have been employed. The main purpose of the analyses has been to examine the variation in error structure and the need for error flexibility due to the different preference elicitation and representation techniques. The results reveal that these components of choice design significantly affect respondents’ decision making and subsequent valuation. Moreover, different methods of representation also influence the level and cause of preference uncertainty as well the decision process.
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Masoudi, Pedram. "Application of hybrid uncertainty-clustering approach in pre-processing well-logs." Thesis, Rennes 1, 2017. http://www.theses.fr/2017REN1S023/document.

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La thèse est principalement centrée sur l'étude de la résolution verticale des diagraphies. On outre, l'arithmétique floue est appliquée aux modèles expérimentaux pétrophysiques en vue de transmettre l'incertitude des données d'entrée aux données de sortie, ici la saturation irréductible en eau et la perméabilité. Les diagraphies sont des signaux digitaux dont les données sont des mesures volumétriques. Le mécanisme d'enregistrement de ces données est modélisé par des fonctions d'appartenance floues. On a montré que la Résolution Verticale de la Fonction d'Appartenance (VRmf) est supérieur d'espacement. Dans l'étape suivante, la fréquence de Nyquist est revue en fonction du mécanisme volumétrique de diagraphie ; de ce fait, la fréquence volumétrique de Nyquist est proposée afin d'analyser la précision des diagraphies. Basé sur le modèle de résolution verticale développée, un simulateur géométrique est conçu pour générer les registres synthétiques d'une seule couche mince. Le simulateur nous permet d'analyser la sensibilité des diagraphies en présence d'une couche mince. Les relations de régression entre les registres idéaux (données d'entrée de ce simulateur) et les registres synthétiques (données de sortie de ce simulateur) sont utilisées comme relations de déconvolution en vue d'enlever l'effet des épaules de couche d'une couche mince sur les diagraphies GR, RHOB et NPHI. Les relations de déconvolution ont bien été appliquées aux diagraphies pour caractériser les couches minces. Par exemple, pour caractériser une couche mince poreuse, on a eu recours aux données de carottage qui étaient disponibles pour la vérification : NPHI mesuré (3.8%) a été remplacé (corrigé) par 11.7%. NPHI corrigé semble être plus précis que NPHI mesuré, car la diagraphie a une valeur plus grande que la porosité de carottage (8.4%). Il convient de rappeler que la porosité totale (NPHI) ne doit pas être inférieure à la porosité effective (carottage). En plus, l'épaisseur de la couche mince a été estimée à 13±7.5 cm, compatible avec l'épaisseur de la couche mince dans la boite de carottage (&lt;25 cm). Normalement, l'épaisseur in situ est inférieure à l'épaisseur de la boite de carottage, parce que les carottes obtenues ne sont plus soumises à la pression lithostatique, et s'érodent à la surface du sol. La DST est appliquée aux diagraphies, et l'intervalle d'incertitude de DST est construit. Tandis que la VRmf des diagraphies GR, RHOB, NPHI et DT est ~60 cm, la VRmf de l'intervalle d'incertitude est ~15 cm. Or, on a perdu l'incertitude de la valeur de diagraphie, alors que la VRmf est devenue plus précise. Les diagraphies ont été ensuite corrigées entre l'intervalle d'incertitude de DST avec quatre simulateurs. Les hautes fréquences sont amplifiées dans les diagraphies corrigées, et l'effet des épaules de couche est réduit. La méthode proposée est vérifiée dans les cas synthétiques, la boite de carottage et la porosité de carotte. L'analyse de partitionnement est appliquée aux diagraphies NPHI, RHOB et DT en vue de trouver l'intervalle d'incertitude, basé sur les grappes. Puis, le NPHI est calibré par la porosité de carottes dans chaque grappe. Le √MSE de NPHI calibré est plus bas par rapport aux cinq modèles conventionnels d'estimation de la porosité (au minimum 33% d'amélioration du √MSE). Le √MSE de généralisation de la méthode proposée entre les puits voisins est augmenté de 42%. L'intervalle d'incertitude de la porosité est exprimé par les nombres flous. L'arithmétique floue est ensuite appliquée dans le but de calculer les nombres flous de la saturation irréductible en eau et de la perméabilité. Le nombre flou de la saturation irréductible en eau apporte de meilleurs résultats en termes de moindre sous-estimation par rapport à l'estimation nette. Il est constaté que lorsque les intervalles de grappes de porosité ne sont pas compatibles avec la porosité de carotte, les nombres flous de la perméabilité ne sont pas valables<br>In the subsurface geology, characterization of geological beds by well-logs is an uncertain task. The thesis mainly concerns studying vertical resolution of well-logs (question 1). In the second stage, fuzzy arithmetic is applied to experimental petrophysical relations to project the uncertainty range of the inputs to the outputs, here irreducible water saturation and permeability (question 2). Regarding the first question, the logging mechanism is modelled by fuzzy membership functions. Vertical resolution of membership function (VRmf) is larger than spacing and sampling rate. Due to volumetric mechanism of logging, volumetric Nyquist frequency is proposed. Developing a geometric simulator for generating synthetic-logs of a single thin-bed enabled us analysing sensitivity of the well-logs to the presence of a thin-bed. Regression-based relations between ideal-logs (simulator inputs) and synthetic-logs (simulator outputs) are used as deconvolution relations for removing shoulder-bed effect of thin-beds from GR, RHOB and NPHI well-logs. NPHI deconvolution relation is applied to a real case where the core porosity of a thin-bed is 8.4%. The NPHI well-log is 3.8%, and the deconvolved NPHI is 11.7%. Since it is not reasonable that the core porosity (effective porosity) be higher than the NPHI (total porosity), the deconvolved NPHI is more accurate than the NPHI well-log. It reveals that the shoulder-bed effect is reduced in this case. The thickness of the same thin-bed was also estimated to be 13±7.5 cm, which is compatible with the thickness of the thin-bed in the core box (&lt;25 cm). Usually, in situ thickness is less than the thickness of the core boxes, since at the earth surface, there is no overburden pressure, also the cores are weathered. Dempster-Shafer Theory (DST) was used to create well-log uncertainty range. While the VRmf of the well-logs is more than 60 cm, the VRmf of the belief and plausibility functions (boundaries of the uncertainty range) would be about 15 cm. So, the VRmf is improved, while the certainty of the well-log value is lost. In comparison with geometric method, DST-based algorithm resulted in a smaller uncertainty range of GR, RHOB and NPHI logs by 100%, 71% and 66%, respectively. In the next step, cluster analysis is applied to NPHI, RHOB and DT for the purpose of providing cluster-based uncertainty range. Then, NPHI is calibrated by core porosity value in each cluster, showing low √MSE compared to the five conventional porosity estimation models (at least 33% of improvement in √MSE). Then, fuzzy arithmetic is applied to calculate fuzzy numbers of irreducible water saturation and permeability. Fuzzy number of irreducible water saturation provides better (less overestimation) results than the crisp estimation. It is found that when the cluster interval of porosity is not compatible with the core porosity, the permeability fuzzy numbers are not valid, e.g. in well#4. Finally, in the possibilistic approach (the fuzzy theory), by calibrating α-cut, the right uncertainty interval could be achieved, concerning the scale of the study
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Books on the topic "Application uncertainty"

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Ping, Tcheng, and Langley Research Center, eds. Uncertainty analysis of instrument calibration and application. National Aeronautics and Space Administration, Langley Research Center, 1999.

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J, Warren-Hicks William, and Hart Andy 1956-, eds. Application of uncertainty analysis to ecological risk of pesticides. CRC Press, 2010.

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Warren-Hicks, William. Application of uncertainty analysis to ecological risk of pesticides. CRC Press, 2010.

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Smith, Peter John. On the application of stochastic modelling and uncertainty analysis in petroleum engineering. University of Portsmouth, 1996.

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Carr, Peter. Development of a method to make use of sensitivity studies and its application to analysis of uncertainties in environmental loading on offshore structures. H.M.S.O., 1989.

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U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. Division of Safety Issues Resolution. and Sandia National Laboratories, eds. Decision making under uncertainty: An investigation into the application of formal decision-making methods to safety issue decisions. Division of Safety Issues Resolution, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1992.

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Cayrac, Didier. Diagnostic dans l'incertain: Une approche relationnelle possibiliste et sa mise en oeuvre sur une application industrielle = Diagnosis under uncertainty : a possibilistic relational approach and its practical application. Institut de Recherche en Informatique de Toulouse, 1996.

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E, Boyack B., Katsma K. R, U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. Division of Systems Research., Idaho National Engineering Laboratory, and EG & G Idaho., eds. Quantifying reactor safety margins: Application of code scaling, applicability, and uncertainty evaluation methodology to a large-break, loss-of-coolant accident. Division of Systems Research, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1989.

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Carneiro, Pedro. Estimating distributions of treatment effects with an application to the returns to schooling and measurement of the effects of uncertainty on college choice. National Bureau of Economic Research, 2003.

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Hunter, Anthony, and Simon Parsons, eds. Applications of Uncertainty Formalisms. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-49426-x.

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Book chapters on the topic "Application uncertainty"

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Jia, Bin, and Ming Xin. "Application Uncertainty Propagation." In Grid-based Nonlinear Estimation and Its Applications. CRC Press, 2019. http://dx.doi.org/10.1201/9781315193212-7.

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Sinn, Hans-Werner. "Areas of Application." In Economic Decisions Under Uncertainty. Physica-Verlag HD, 1989. http://dx.doi.org/10.1007/978-3-642-61547-4_5.

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Wampfler, Bruno, Samuel Affolter, Axel Ritter, and Manfred Schmid. "Uncertainty Data in Practical Application." In Measurement Uncertainty in Analysis of Plastics. Carl Hanser Verlag GmbH & Co. KG, 2022. http://dx.doi.org/10.1007/978-1-56990-813-6_3.

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Wampfler, Bruno, Samuel Affolter, Axel Ritter, and Manfred Schmid. "Uncertainty Data in Practical Application." In Measurement Uncertainty in Analysis of Plastics. Carl Hanser Verlag GmbH & Co. KG, 2022. http://dx.doi.org/10.3139/9781569908136.003.

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Bi, Sifeng, and Michael Beer. "Overview of Stochastic Model Updating in Aerospace Application Under Uncertainty Treatment." In Uncertainty in Engineering. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-83640-5_8.

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AbstractThis chapter presents the technique route of model updating in the presence of imprecise probabilities. The emphasis is put on the inevitable uncertainties, in both numerical simulations and experimental measurements, leading the updating methodology to be significantly extended from deterministic sense to stochastic sense. This extension requires that the model parameters are not regarded as unknown-but-fixed values, but random variables with uncertain distributions, i.e. the imprecise probabilities. The final objective of stochastic model updating is no longer a single model prediction with maximal fidelity to a single experiment, but rather the calibrated distribution coefficients allowing the model predictions to fit with the experimental measurements in a probabilistic point of view. The involvement of uncertainty within a Bayesian updating framework is achieved by developing a novel uncertainty quantification metric, i.e. the Bhattacharyya distance, instead of the typical Euclidian distance. The overall approach is demonstrated by solving the model updating sub-problem of the NASA uncertainty quantification challenge. The demonstration provides a clear comparison between performances of the Euclidian distance and the Bhattacharyya distance, and thus promotes a better understanding of the principle of stochastic model updating, as no longer to determine the unknown-but-fixed parameters, but rather to reduce the uncertainty bounds of the model prediction and meanwhile to guarantee the existing experimental data to be still enveloped within the updated uncertainty space.
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Tonkonogyi, Volodymyr, Maryna Holofieieva, Predrag Dašić, Sergii Klimov, and Oleksii Buriachenko. "Fractal Dimension Measurement Uncertainty." In New Technologies, Development and Application VII. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-66268-3_50.

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Hug, Sabine, Daniel Schmidl, Wei Bo Li, Matthias B. Greiter, and Fabian J. Theis. "Bayesian Model Selection Methods and Their Application to Biological ODE Systems." In Uncertainty in Biology. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21296-8_10.

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Mirzargar, Mahsa, Yanyan He, and Robert M. Kirby. "Application of Uncertainty Modeling Frameworks to Uncertain Isosurface Extraction." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25135-6_32.

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Jaffray, Jean-Yves. "Application of linear utility theory to belief functions." In Uncertainty and Intelligent Systems. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/3-540-19402-9_49.

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Kavetski, Dmitri, Stewart W. Franks, and George Kuczera. "Confronting input uncertainty in environmental modelling." In Water Science and Application. American Geophysical Union, 2003. http://dx.doi.org/10.1029/ws006p0049.

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Conference papers on the topic "Application uncertainty"

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Lin, Qiao, Xin Chen, Chao Chen, et al. "Application of Fuzzy-Based Uncertainty in Cardiac MRI Segmentation." In 2025 IEEE Symposium on Computational Intelligence in Health and Medicine (CIHM). IEEE, 2025. https://doi.org/10.1109/cihm64979.2025.10969474.

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Lee, Li-Bong Wei, Glenn L. Krum, Tingting Yao, Robert Chick Wattenbarger, and Lester Henry Landis. "Application of Model-Based Uncertainty Analysis." In Abu Dhabi International Petroleum Exhibition and Conference. Society of Petroleum Engineers, 2006. http://dx.doi.org/10.2118/101668-ms.

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Flater, David. "Estimation of Uncertainty in Application Profiles." In 2014 14th International Conference on Quality Software (QSIC). IEEE, 2014. http://dx.doi.org/10.1109/qsic.2014.16.

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Davison, Chris, Andrew Ratcliffe, Sergio Grion, et al. "Azimuthal velocity uncertainty: Estimation and application." In SEG Technical Program Expanded Abstracts 2011. Society of Exploration Geophysicists, 2011. http://dx.doi.org/10.1190/1.3627743.

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Liliana, Resmana Lim, and Elizabeth Kwan. "Voice conversion application (VOCAL)." In 2011 International Conference on Uncertainty Reasoning and Knowledge Engineering (URKE). IEEE, 2011. http://dx.doi.org/10.1109/urke.2011.6007812.

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Veresnikov, G. S., L. A. Pankova, V. A. Pronina, and E. A. Trahtengerts. "Using Uncertainty Theory in Optimal Robust Design with Uncertain Parameters." In 2017 IEEE 11th International Conference on Application of Information and Communication Technologies (AICT). IEEE, 2017. http://dx.doi.org/10.1109/icaict.2017.8687062.

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Mei, Cai, and Li Yan. "Decision Making under Uncertainty and Its Application." In 2010 International Conference on E-Business and E-Government (ICEE). IEEE, 2010. http://dx.doi.org/10.1109/icee.2010.454.

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Jian-xin, Liu, Deng Xiao-kang, Tong Xiao-zhong, Liu Chun-ming, Liu Peng-mao, and Cao Chuang-hua. "Application condition of linearized model uncertainty estimate." In 2011 International Conference on Consumer Electronics, Communications and Networks (CECNet). IEEE, 2011. http://dx.doi.org/10.1109/cecnet.2011.5768451.

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Kratzenberg, M. G., H. G. Beyer, S. Colle, and A. Albertazzi. "Uncertainty Calculations in Pyranometer Measurements and Application." In ASME 2006 International Solar Energy Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/isec2006-99168.

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The uncertainty of pyranometer measurements should be traced back to the World Radiation Reference (WRR), a standard that is specified by the mean sensitivity of the World Standard Group (WSG). The WSG is build up by 7 primary standard pyrheliometers, operated at Davos, Switzerland. Analyzing the complete calibration chain for an individual field pyranometer, usually the uncertainty of its calibration constant is extracted as a unique figure depending on the calibration method. The common representation of the expanded uncertainty, specified by the manufacturer is global information on the accuracy of daily averages. For the use of pyranometers for e.g. test of solar energy components as solar collectors, this information on the global daily accuracy of the pyranometer is not sufficient. As the response of a solar collector to the irradiance shows nonlinearities, a more detailed analysis of the pyranometer uncertainties is necessary. This will be demonstrated for the analysis of the uncertainties of the test results — i.e. the collector coefficients and their uncertainties — and the resulting predictions of the energy gain by these devices. Ancillary information by the manufacturers will be used to discuss the uncertainty of individual measurements depending on e.g. ranges of those parameters that originate the uncertainties, depending on the geometry (incidence angle), ambient temperature and the sky conditions. Based on this information the inter-comparability of test performed at different times or with different instruments will be discussed.
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Rutherford, Amanda, Jeff Hylok, Ryan Maupin, and Mark Anderson. "Practical Application of Uncertainty-Based Validation Assessment." In 46th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference. American Institute of Aeronautics and Astronautics, 2005. http://dx.doi.org/10.2514/6.2005-1906.

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Reports on the topic "Application uncertainty"

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Flater, David. Estimation of Uncertainty in Application Profiles. National Institute of Standards and Technology, 2014. http://dx.doi.org/10.6028/nist.tn.1826.

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Mousseau, Vincent. Improved Uncertainty Quantification with Advanced Reactor Application. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1890062.

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Manski, Charles. Vaccination Planning under Uncertainty, with Application to Covid-19. National Bureau of Economic Research, 2021. http://dx.doi.org/10.3386/w28446.

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Howe, Adele, and L. D. Whitley. Scheduling Under Uncertainty: An Analysis of an Air Force Application. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada465658.

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Verbeke, J. Application-Specific Implementations: Self-Consistent Analysis, Uncertainty Estimation, Instrumentation Effects. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1671182.

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Bushnell, James, and Aaron Smith. Modeling Uncertainty in Climate Policy: An Application to the US IRA. National Bureau of Economic Research, 2024. http://dx.doi.org/10.3386/w32830.

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Culotta, Aron, and Andrew McCallum. Practical Markov Logic Containing First-Order Quantifiers With Application to Identity Uncertainty. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada440385.

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Favorite, Jeffrey A., Garrett James Dean, Keith C. Bledsoe, et al. Predictive Modeling, Inverse Problems, and Uncertainty Quantification with Application to Emergency Response. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1432629.

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Acquesta, Erin, Teresa Portone, Raj Dandekar, et al. Model-Form Epistemic Uncertainty Quantification for Modeling with Differential Equations: Application to Epidemiology. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1888443.

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Raftery, Adrian E., Miroslav Karny, Josef Andrysek, and Pavel Ettler. Online Prediction under Model Uncertainty Via Dynamic Model Averaging: Application to a Cold Rolling Mill. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada478617.

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