The application of Queuing Theory to quantify the relationships between trajectory uncertainties due to aviation operations, precision of navigation and control, and traffic flow efficiency in the National Airspace System is discussed. This work builds on a previous research effort on Markovian queuing network models of the NAS. Two approaches for incorporating the trajectory uncertainties in t...

We are all faced with uncertainty about the future, but we can get the measure of some uncertainties in terms of probabilities. Probabilities are notoriously difficult to communicate effectively to lay audiences, and in this review we examine current practice for communicating uncertainties visually, using examples drawn from sport, weather, climate, health, economics, and politics. Despite the...

System Dynamics is often used for dealing with dynamically complex issues that are also uncertain. This paper reviews how uncertainty is dealt with in System Dynamics modeling, where uncertainties are located in models, which types of uncertainties are dealt with, and which levels of uncertainty could be handled. Shortcomings of System Dynamics and its practice in dealing with uncertainty are d...

We consider multicriteria decision-aid (MCDA) problems with multiple decision makers. In such problems, the uncertainty or inaccuracy of the criteria measurements can be represented as probability distributions. In many real-life problems the uncertainties may be dependent. However, it is often difficult to quantify these dependencies. Also most of the existing MCDA methods are unable to handle...

The development of a product portfolio is a strategic decision which is often complicated by the large number of competing products, product interactions and high uncertainties about how successful the products will be in the marketplace. These decisions are commonly supported either by financially oriented approaches (e.g., net present value) or more qualitative approaches (e.g., scoring model...

We give empirical welfare results for global greenhouse gas emission abatement, using the first multi-party model to include both tax-versus-trading under uncertainties, and revenue recycling. Including multiple, independent parties greatly reduces the welfare advantage of an emissions tax over emissions (permit) trading in handling abatement-cost uncertainties, from that shown by existing, sin...

Applications for tracking multiple objects in an image sequence are frequently challenged by various uncertainties, such as occlusion, misdetection, and abrupt camera motion. In practical environments, these uncertainties may occur simultaneously and with no pattern so that they must be jointly considered to achieve reliable tracking. We propose a two-step online multi-object tracking framework...

for many physical systems like vehicles, acceleration can be easily measured for the respective states. however, the outputs are usually affected by stochastic noise disturbance. the mentioned systems are often sensitive to noise and structural uncertainties. furthermore, it is very difficult to estimate the multiple integrals of the signal, acceleration to velocity and velocity to position. in...

Scientists, engineers, and decision makers in a wide variety of fields are faced with the problem of visualizing the effect of multiple parameters on quantities of interest. Oftentimes a model of some physical system is involved in which the participants are interested not only in the model results, but also how the various driving parameters of the model have influenced that result. Moreover, ...

Measurement of multilayer material properties with fringing electric field dielectrometry sensors requires the processing of terminal admittance data from multiple electrode pairs. The choice of the algorithmic approach for data analysis is critical because of a high sensitivity to small measurement uncertainties. While individual channel uncertainties are usually within a reasonable instrument...