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Multi-objective optimisation under deep uncertainty

Most of the decisions in real-life problems need to be made in the absence of complete knowledge about the consequences of the decision. Furthermore, in some of these problems, the probability and/or the number of different outcomes are also unknown (named deep uncertainty). Therefore, all the proba...

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Bibliographic Details
Main Author: Shavazipour, Babooshka
Other Authors: Stewart, Theodor J
Format: Thesis
Language:English
Published: Department of Statistical Sciences 2018
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