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Forecast of environment systems using expert judgements: performance comparison between the possibilistic and the classical model

Abstract : Expert judgment is widely used to inform forecasts (e.g. using the 5 th , 50 th and 95 th percentile of some variable of interest) for a large variety of applications related to environment systems. This task can rely on Cooke's classical model (CM) within the probabilistic framework, and consists in combining expert information after a preliminary step where experts are weighted using calibration and informativeness scores estimated using some seed questions for which the answers can be obtained. In the literature, an alternative model (PM) has been proposed using
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Soumis le : lundi 11 janvier 2021 - 09:28:15
Dernière modification le : jeudi 21 janvier 2021 - 13:09:34
Archivage à long terme le : : lundi 12 avril 2021 - 18:22:28

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Jeremy Rohmer, Eric Chojnacki. Forecast of environment systems using expert judgements: performance comparison between the possibilistic and the classical model. Environment Systems and Decisions, Springer, 2021, ⟨10.1007/s10669-020-09794-9⟩. ⟨hal-03105346⟩

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