This paper introduces a method for representing uncertainty in ranking by single or multiple indicators. The method can potentially integrate parametric and structural uncertainty of model outputs. It requires estimating the range of conditions over which a ranking of items should be robust. The ranking is then subjected to perturbation tests, and the results displayed graphically. Ranking a set of measurements, or ranking a set of model outputs, is a generic task for decision support. In the...[Show more]
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