How to treat uncertainties in life cycle assessment studies?
Purpose The use of life cycle assessment (LCA) as a decision support tool can be hampered
by the numerous uncertainties embedded in the calculation. The treatment of uncertainty is …
by the numerous uncertainties embedded in the calculation. The treatment of uncertainty is …
Uncertainty analysis in agent-based modelling and consequential life cycle assessment coupled models: a critical review
P Baustert, E Benetto - Journal of Cleaner Production, 2017 - Elsevier
The evolution of life cycle assessment (LCA) from a merely comparative tool for the
assessment of products to a policy analysis tool proceeds by incorporating increasingly …
assessment of products to a policy analysis tool proceeds by incorporating increasingly …
Possibility theory and statistical reasoning
D Dubois - Computational statistics & data analysis, 2006 - Elsevier
Numerical possibility distributions can encode special convex families of probability
measures. The connection between possibility theory and probability theory is potentially …
measures. The connection between possibility theory and probability theory is potentially …
Fuzzy Monte Carlo simulation and risk assessment in construction
Monte Carlo simulation has been used extensively for addressing probabilistic uncertainty in
range estimating for construction projects. However, subjective and linguistically expressed …
range estimating for construction projects. However, subjective and linguistically expressed …
Joint propagation and exploitation of probabilistic and possibilistic information in risk assessment
C Baudrit, D Dubois, D Guyonnet - IEEE transactions on fuzzy …, 2006 - ieeexplore.ieee.org
Random variability and imprecision are two distinct facets of the uncertainty affecting
parameters that influence the assessment of risk. While random variability can be …
parameters that influence the assessment of risk. While random variability can be …
Stochastic and epistemic uncertainty propagation in LCA
Purpose When performing uncertainty propagation, most LCA practitioners choose to
represent uncertainties by single probability distributions and to propagate them using …
represent uncertainties by single probability distributions and to propagate them using …
Risk-informed decision-making in the presence of epistemic uncertainty
D Dubois, D Guyonnet - International Journal of General Systems, 2011 - Taylor & Francis
An important issue in risk analysis is the distinction between epistemic and aleatory
uncertainties. In this paper, the use of distinct representation formats for aleatory and …
uncertainties. In this paper, the use of distinct representation formats for aleatory and …
Computing with words in risk assessment
This paper presents a comprehensive overview of currently known applications of
computing with words (CWW) in risk assessment. It is largely grouped into the following 5 …
computing with words (CWW) in risk assessment. It is largely grouped into the following 5 …
Hierarchical propagation of probabilistic and non-probabilistic uncertainty in the parameters of a risk model
We consider a model for the risk-based design of a flood protection dike, and use probability
distributions to represent aleatory uncertainty and possibility distributions to describe the …
distributions to represent aleatory uncertainty and possibility distributions to describe the …
Prise en compte de l'incertitude dans l'expertise des risques naturels en montagne par analyse multicritères et fusion d'information
JM Tacnet - 2009 - theses.hal.science
Les phénomènes naturels gravitaires rapides tels que les avalanches ou les crues
torrentielles menacent les biens et les personnes en montagne mais restent mal connus …
torrentielles menacent les biens et les personnes en montagne mais restent mal connus …