| Sumario: | Part of a special issue on climate change and variability, uncertainty, and decision making. Climate change presents problems for risk assessment procedures because of the difficulty associated with assigning a measure of probability to any future scenario. Grey systems theory, however, provides an alternative method of quantifying uncertainty that is based on interval numbers. Grey systems theory within a mathematical programming model provides a means for working with uncertainties that are not amenable to stochastic or fuzzy quantification. The writers use an example of forestry and agricultural expansion in the Mackenzie River Basin to demonstrate grey mathematical programming in a hop, skip, and jump formulation, and their analysis demonstrates that a grey mathematical programming algorithm is useful for assessing the sensitivity of a decision to climatically sensitive parameters.
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