VALKO, Arthur; OLTEANU, Alexandru Liviu; BROSSET, David; MEYER, Patrick

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VALKO, Arthur
Chaire cyberdéfense systèmes navals (Ecole Navale, IMT-Atlantique, THALES, DCNS)

OLTEANU, Alexandru Liviu
Lab-STICC_UBS_CID_DECIDE

BROSSET, David
Institut de Recherche de l'Ecole Navale [IRENAV]

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Communication dans un congrès avec actes

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DA2PL'2018: from Multiple Criteria Decision Aid to Preference Learning, 2018-11-22, Poznan.

Résumé en anglais

In certain applications, evaluations of decision alternatives on multiple criteria may vary in time. This is the case in the cyber-defence setting, where multi-criteria decision aiding can be used to help a decision maker to evaluate multiple actions on a system under attack, in order to return it to an operational state. More specifically, these actions might have different effects on the future availability and efficiency of various functionalities of the system. This is why, in this work, we tackle the problem of integrating a temporal component into multi-criteria majority-rule sorting models. Wechoose to integrate this component by building a hierarchical sorting model, which has the advantage of being easily understandable by the decision maker, while helping him to elicit the model parameters.< Réduire

Mots clés en anglais

multi-criteria decision aiding

sorting

outranking relation

mixed-integer programming

times series

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Integrating a temporal component into multi-criteria majority-rule sorting models

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Résumé en anglais

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