Abstract
The narrowly defined technical problems that occupied civil engineers during the last century and a half, such as the mechanics of the materials steel, concrete and water, have for most practical purposes been solved. The outstanding challenges relate to interactions between technological systems, the natural environment and human society, at a range of scales up to the global. Management of these coupled systems is obviously a problem of decision making under uncertainty, informed by, on the one hand, sometimes quite dense datasets but, on the other, perhaps only the vaguest of intuitions about the behaviour of the systems in question. An extension of the scope of engineering from a narrowly focussed technical activity to one that more consciously engages with society and the natural environment means that approaches based upon the strictures of individual decision rationality may have to be modified as part of collective and perhaps highly contested decision processes.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
J.W. Hall, E. Rubio, and M.J. Anderson. Random sets of probability measures in slope hydrology and stability analysis. ZAMM: Journal of Applied Mathematics and Mechanics, 84(10–11):710–720, 2004.
E. Rubio, J.W. Hall, and M.G. Anderson. Uncertainty analysis in a slope hydrology and stability model using probabilistic and imprecise information. Computers and Geotechnics, 31:529–536, 2004.
R.J. Dawson and J.W. Hall. Probabilistic condition characterisation of coastal structures using imprecise information. In J. McKee Smith, editor, Coastal Engineering 2002, Proc. 28th Int. Conf., volume 2, pages 2348–2359. World Scientific, 2003.
Y. Ben-Haim. Information-Gap Decision Theory: Decisions Under Severe Uncertainty. Academic Press, 2001.
D. Hine and J.W. Hall. Info-gap analysis of flood model calibration. In Hydroinformatics 2006: Proc. 6th Int. Conf. on Hydroinformatics, in press.
E. Kriegler and H. Held. Utilizing belief functions for the estimation of future climate change. International Journal of Approximate Reasoning, 39 (2–3):185–209, 2005.
J.W. Hall, G. Fu, and J. Lawry. Imprecise probabilities of climate change: aggregation of fuzzy scenarios and model uncertainties. Climatic Change, in press.
J. Lawry, J.W. Hall, and G. Fu. A granular semantics for fuzzy measures and its application to climate change scenarios. In F.G. Cozman, R. Nau, and E. Seidenfeld, editors, ISIPTA ’05, Proc. 4th Int. Symp. on Imprecise Probabilities and Their Applications, pages 213–221, 2005.
J.W. Hall, C. Twyman, and A. Kay. Influence diagrams for representing uncertainty in climate-related propositions. Climatic Change, 69:343–365, 2005.
K. Sentz and S. Ferson. Combination of evidence in dempster-shafer theory. Technical Report SAND2002–0835, Sandia National Laboratories, Albuquerque, New Mexico, 2002.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer
About this chapter
Cite this chapter
Hall, J.W. (2006). Soft Methods in Earth Systems Engineering. In: Lawry, J., et al. Soft Methods for Integrated Uncertainty Modelling. Advances in Soft Computing, vol 37. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-34777-1_3
Download citation
DOI: https://doi.org/10.1007/3-540-34777-1_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34776-7
Online ISBN: 978-3-540-34777-4
eBook Packages: EngineeringEngineering (R0)