FYI ******************************************************************* From: Wei Gao [mailto:w....@unsw.edu.au] I have submitted the 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....@unsw.edu.au<mailto:w....@unsw.edu.au>, h.zh...@civil.usyd.edu.au<mailto:h.zh...@civil.usyd.edu.au>, mb...@liverpool.ac.uk<mailto:mb...@liverpool.ac.uk>, vla...@utep.edu<mailto:vla...@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.
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