Mini-Symposium (MS) proposal to the organizers of the APSSRA’2016 conference.
I already told some of my friends/collaborators of our MS and ask them to attend if possible. Would you please pass it onto your network as well? Thanks a lot.
The 6th Asian-Pacific Symposium on Structural Reliability and Its
Applications APSSRA’2016, Tongji University, Shanghai, China, May
28-30, 2016, http://www.apssra2016.org/
deadline for abstracts May 30, 2015
Proposed Mini-Symposium on Epistemic Uncertainties In Engineering
— Modelling, Methods And Applications
Organizers: Wei Gao, Hao Zhang, Michael Beer, Vladik Kreinovich
Wei Gao, School of Civil and Environmental Engineering, University
of New South Wales, Sydney NSW 2052, Australia.
Hao Wang, School of Civil Engineering, University of Sydney,
Sydney NSW 2006, Australia.
Michael Beer, Institute for Risk & Uncertainty, University of
Liverpool, Brodie Tower, Brownlow Street, Liverpool L69 3GQ, UK
Vladik Kreinovich, Department of Computer Science University of
Texas at El Paso 500 W. University El Paso, TX 79968, USA
E-mail: w.gao@unsw.edu.au, H.Zhang@civil.usyd.edu.au,
mbeer@liverpool.ac.uk, vladik@utep.edu.
Uncertainties are pervasive in engineering practice due to
inherent variability and lack of knowledge. Realistically
quantifying uncertainties in analysis and design of engineering
systems is crucial. Probabilistic methods have been developed
extensively for this purpose and have led to great achievements.
Significant research is increasingly devoted to problematic cases,
which involve, for example, limited information, human factors,
subjectivity and experience, linguistic assessments, imprecise
measurements, dubious information, unclear physics, etc. In this
context, two pathways have been proposed to account for epistemic
uncertainties. First, subjective probabilities are utilized to
quantify expert knowledge on an intuitive basis in form of a
belief. The most popular implementation of subjective
probabilities in engineering is observed in Bayesian approaches.
Second, non-probabilistic concepts have attracted considerable
attention to in forms of interval methods and fuzzy methods. These
are most suitable when the available information appears in a
bounded manner with no probabilistic characteristics. The
usefulness of both concepts has been demonstrated in practical
applications. Quantification concepts and numerical methods for
processing subjective probabilities as well as fuzzy sets and
intervals in engineering analyses have already reached remarkable
capabilities.
This mini-symposium aims to bundle and disseminate the latest
developments of handling epistemic uncertainties in engineering.
Contributions are invited with emphasis on theory, numerical
methods and applications of both the non-probabilistic framework
and subjective probabilities. These may address specific technical
or mathematical details, conceptual developments and solution
strategies, individual solutions, and may also provide overviews
and comparative studies. Topics may include modelling,
quantification, analysis, design, decision-making, monitoring and
control in broad engineering areas.