3.8 Proceedings Paper

Robust Optimization with Scenarios Using Belief Functions

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Summary: This paper discusses a robust optimization problem with uncertain objective function, modeling uncertainty by specifying a scenario set and using a mass function. A generalized Hurwicz criterion is used to solve the uncertain problem. Recently, possibility theory has been applied to extend the model of uncertainty based on belief functions.

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