Towards an uncertainty reduction framework for land-cover change prediction using possibility theory

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Towards an uncertainty reduction framework for land-cover change prediction using possibility theory

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This paper presents an approach for reducing uncertainty related to the process of land-cover change (LCC) prediction. LCC prediction models have, almost, two sources of uncertainty which are the uncertainty related to model parameters and the uncertainty related to model structure. These uncertainties have a big impact on decisions of the prediction model.

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