Abstract
Most systems that need to be controlled or analyzed involve some level of uncertainty about the value to assign to some of the parameters, if not about the actual layout of certain subcomponents of the system. In many situations not much is lost by assigning “reasonable” values to these parameters or by choosing a particular design. In other instances ignoring uncertainty may very well lead to totally misleading solutions that would invalidate any of the implications one may wish to draw from the analysis.
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© 1989 Springer-Verlag Berlin Heidelberg
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Wets, R.JB. (1989). The Aggregation Principle in Scenario Analysis and Stochastic Optimization. In: Wallace, S.W. (eds) Algorithms and Model Formulations in Mathematical Programming. NATO ASI Series, vol 51. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83724-1_4
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DOI: https://doi.org/10.1007/978-3-642-83724-1_4
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