This paper presents recent advances in (a) modelling the combined hydrodynamic responses of ship structures using cross-spectral combination methods and (b) in implementing uncertainty models used for the development of modern decision support systems as guidance to ship's master.
If one wants to implement uncertainty analysis of β T and Ω T, informative priors for β T and Ω T should be used to avoid a failure to converge, as those four parameters are not identifiable given the trinomial incidence assay data: prevalence, incidence, β T and Ω T. The performance of this new approach should be further tested with actual incidence data.
By implementing realistic uncertainty factors for binary diffusion coefficients and chemical kinetic parameters, the measured experimental uncertainty of laminar flame propagation velocity (S0L) is shown to be greater than the uncertainty on predicted S0L propagated from the binary diffusion coefficient parametric space.
First, case definitions, surveillance methods, data collection forms, and informational materials had to be developed ad hoc throughout the investigation, resulting in delays in implementing surveillance, uncertainties as to the effectiveness of and person-hours required by the case-finding methods, and inefficiencies in the data collection process.
Here, we implement a dedicated uncertainty processor, that can be used within operational flood forecasting systems.
Most of previous studies implement probabilistic-based uncertainty analysis, which requires detailed information to define probability for input factors.
A two-phase-two-stage stochastic multi-objective optimization problem (2P2SSMOOP) solving approach is implemented to consider uncertainty, and the ε-constraint method is used to evaluate the interaction between total annual cost with financial risk and an Eco-indicator 99 score with environmental risk.
If found necessary, complex dissociation could be implemented into the uncertainty scheme presented here in future work.
On the other hand, risk sharing schemes were implemented to tackle uncertainty primarily for short term and due to their binary evaluation context they tend to benefit insurer and sustainability is severely doubted [ 43].
