Uncertainty modelling

This research paper focuses on the critical role of demand forecasting in FMCG, emphasizing the need for LSTM-based deep learning models to deal with demand uncertainty and improve predictive outcomes. Through this exploration, we aim to illuminate the link between demand forecasting and advanced deep learning, enabling FMCG companies to thrive in a highly dynamic business landscape.

8p vifilm 11-10-2024 2 1   Download

The aim of this thesis is to ensure that accurate calibration factors are provided to radiotherapy clinics when moving to the new linac-based primary standard calibrations. Specifically, this thesis quantifies the error introduced when using a calibration factor from the ARPANSA Elekta linac on a Varian high energy platform beam at 6 MV.

102p runthenight05 01-03-2023 7 3   Download

The thesis is structured as follows: Chapter 1 introduction; chapter 2 a review of fuzzy multicriteria analysis approaches; chapter 3 problem formulation and developments; chapter 4 pairwise comparison based multicriteria decision making under uncertainty; chapter 5 effective decision support for fuzzy multicriteria group decision making; chapter 6 a consensus based approach for multicriteria group decision making; chapter 7 risk-oriented decision making for multicriteria group decision making under uncertainty; chapter 8 hospital location evaluation and selection under uncertainty; chapter...

232p runthenight04 02-02-2023 8 3   Download

Models representing uncertainty factors; data mining techniques; calculation methods of power systems taking into account uncertainty factors.

31p gaocaolon6 30-07-2020 21 2   Download

Scenario studies simulate the whole fuel cycle over a period of time, from extraction of natural resources to geological storage. Through the comparison of different reactor fleet evolutions and fuel management options, they constitute a decision-making support.

15p christabelhuynh 30-05-2020 20 2   Download

In nuclear safety research, the quality of the results of simulation codes is widely determined by the reactor design and safe operation, and the description of neutron transport in the reactor core is a feature of particular importance.

14p christabelhuynh 30-05-2020 41 1   Download

It is also well known that the knowledge of nuclear reaction mechanisms is at best approximate, and that their modeling relies on many parameters which do not have a precise physical meaning outside of their specific implementations in nuclear model codes: they carry both specific physical information, and effective information that is related to the deficiencies of the model itself.

8p christabelhuynh 29-05-2020 5 1   Download

In this article, we will first discuss the issues of the prompt g-ray spectroscopy regarding the control of all the uncertainties involved in the (n,n0g) cross section estimation. Secondly, we will focus on the role of theoretical modeling which, in certain cases, is crucial to reach the objectives of a few percent uncertainty on the (n,n0) cross sections.

9p christabelhuynh 29-05-2020 5 2   Download

The goal of this study is to demonstrate and quantify the impact that the uncertainty in thermophysical properties has on key metrics of thermal hydraulic importance for MSRs, in particular on the heat transfer coefficient. In order to achieve this, computational fluid dynamics (CFD) simulations using the RANS k-ω SST model were compared to published experiment data on molten salt.

13p christabelhuynh 29-05-2020 19 1   Download

This paper introduces the Uranie platform, an open-source framework developed at the Alternative Energies and Atomic Energy Commission (CEA), in the nuclear energy division, in order to deal with uncertainty propagation, surrogate models, optimisation issues, code calibration, etc.

32p christabelhuynh 29-05-2020 20 0   Download

In this paper, a stochastic model of a closed-loop supply chain (CLSC) with one risk-averse manufacturer, one risk-averse retailer and one risk-averse third party is developed.

18p tocectocec 24-05-2020 12 1   Download

The proposed study also develops a multi-product and multi-period model based on a mixed integer linear programming (MILP) approach for profit maximization. The study also considers uncertainty in the amount of raw material, processing, storage and distribution of several products flow.

14p tohitohi 22-05-2020 13 1   Download

In this state-of the art review paper, a systematic qualitative and quantitative review is implemented among Metamodel Based Robust Simulation Optimization (MBRSO) for black-box and expensive simulation models under uncertainty.

28p tohitohi 22-05-2020 15 1   Download

A Bayesian approach with frequentist validity has been developed to support inferences derived from a BLevel A^ in vivo-in vitro correlation (IVIVC). Irrespective of whether the in vivo data reflect in vivo dissolution or absorption, the IVIVC is typically assessed using a linear regression model. Confidence intervals are generally used to describe the uncertainty around the model. While the confidence intervals can describe population-level variability, it does not address the individual-level variability.

16p caothientrangnguyen 09-05-2020 34 2   Download

The objective of the thesis is to propose some new control methods to compensate for the negative effects of pattern uncertainty, external noise and wheel slip. Analyze and build dynamic and kinetic models of mobile robots when model uncertainties exist. Demonstrating the correctness and effectiveness of new control methods by the Lyapunov stability standard and Barbalat lemma. Advanced domestic and foreign control methods for mobile robots in the presence of uncertainty models, external noise, and wheel slip. Then propose new control methods.

26p xacxuoc4321 09-07-2019 38 3   Download

The wind speeds of the simulated typhoons and the probable maximum wind speeds are estimated using Monte Carlo simulations, and wind hazard curves are derived as a function of the annual exceedance probability or return period. A logic tree decreases the epistemic uncertainty included in the wind intensity models and provides reasonably acceptable wind speeds.

11p minhxaminhyeu3 12-06-2019 7 0   Download

In this paper, we describe a hedge algebras based approach to modelling uncertainty in fuzzy object-oriented databases. Membership value reflects the degree of fuzziness existing in the data values and uncertainty is extended to the class definition level and is the basis for the determination of the membership of an object in a class.

13p dieutringuyen 07-06-2017 53 3   Download

The market for lemons quality uncertainty and mechanism present about the model with automobiles as an example; example and application; counteracting institutions; conclusion of The market for lemons quality uncertainty and mechanism.

14p thanhvy28591 26-03-2015 76 10   Download

THE EFFECTS OF MACROECONOMIC UNCERTAINTY ON IRREVERSIBLE INVESTMENT Peer group and, by extension, average student performance are endogenous to unobserved determinants of housing prices. One estimation strategy that accommodates this endogeneity is that taken by Bayer, McMillan, and Reuben (2002), who estimate a structural model for housing prices and community composition in San Francisco.

129p mualan_mualan 25-02-2013 109 9   Download

This dissertation addresses how the weather derivative hedges the corporate risk, how to price the indexed derivative as an exotic derivative instrument, and the implications of basis risk. These topics are summarized in an expanded uncertainty model. Under this framework, different hedging instruments for studying the optimal hedging portfolios are compared.

151p mualan_mualan 25-02-2013 83 18   Download