Purpose: When performing uncertainty propagation, most LCA practitioners choose to represent uncertainties by single probability distributions and to propagate them using stochastic methods. However the selection of single probability distributions appears often arbitrary when faced with scarce information or expert judgement (epistemic uncertainty). Possibility theory has been developed over t...

The thesis of this study is to propose an extended methodology for laboratory based Information Retrieval evaluation under incomplete relevance assessments. This new methodology aims to identify potential uncertainty during system comparison that may result from incompleteness. The adoption of this methodology is advantageous, because the detection of epistemic uncertainty – the amount of knowl...

The primary goal of this paper is to discuss the state-of-the-art related to the structural identification (St-ID) of constructed systems, and to point out the most pressing needs for research and applications. As a subset of the system identification concept, St-ID aims to develop representative mathematical models of manufactured (mechanical) and constructed (civil) structural systems through...

Diverse arrays of modern applications require accurate predictions of complex turbulent flows. These range from flows across aircraft and inside turbomachinery, over the planet for weather prediction and through the heart for cardiac auscultation, etc. Due to the disparate character of these complex flows, predictive methods must be robust so as to be applicable for most of these cases, yet pos...

As an essential part of the Level 2 PSA, a probabilistic treatment of complex phenomenological accident pathways inevitably leads to two sources of uncertainty: (a) an incomplete modeling of these accident pathways and their subsequent impacts on the Level 2 risk, and (b) an expert-toexpert variation in the their probabilistic estimates. While the former type of uncertainty is epistemic in natu...

The authors are to be congratulated on their attempt to extract results from the unique Delft database. Their conclusions are interesting and thought-provoking. However, I am concerned about the analysis of individual question effects. As in so many aspects of elicitation, I think it is helpful to disentangle the uncertainties due to lack of knowledge, i.e. epistemic uncertainty, from those due...

I provide an analysis of sentences with some combining with subkind-denoting NPs, such as Some plant is growing through the wall of my room. In such sentences, there is epistemic uncertainty concerning the subkind, but not concerning the actual witness of the claim. I make use of the semantics proposed by [AOMB10b] for the Spanish epistemic indefinite algún, combined with the polysemy of common...

Graph databases are becoming widely successful as data models that allow to effectively represent and process complex relationships among various types of data. As with any other type repository, graph may suffer from errors discrepancies respect the real-world they intend represent. In this work we explore notion probabilistic unclean databases, previously proposed for relational in order capt...

To make informed decisions during the concept selection activities of a nuclear fusion power plant, it is necessary to evaluate impact uncertainties on feasibility and performance each concept. A framework for uncertainty quantification sensitivity analysis has been developed PROCESS systems code allow direct comparison different DEMOnstration plant (DEMO) concepts. account epistemic uncertaint...

Planning under uncertainty involves two distinct sources of uncertainty: uncertainty about the effects of actions and uncertainty about the current state of the world. The most widely developed model that deals with both sources of uncertainty is that of Partially Observable Markov Decision Processes (POMDPs). Simplifying POMDPs by getting rid of the second source of uncertainty leads to the we...