Integrating a temporal component into multi-criteria majority-rule sorting models - Archive ouverte HAL
Communication Dans Un Congrès Année : 2018

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

Résumé

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. We choose 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.
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Dates et versions

hal-01947849 , version 1 (07-12-2018)

Identifiants

  • HAL Id : hal-01947849 , version 1

Citer

Arthur Valko, Alexandru-Liviu Olteanu, David Brosset, Patrick Meyer. Integrating a temporal component into multi-criteria majority-rule sorting models. DA2PL'2018: from Multiple Criteria Decision Aid to Preference Learning, Nov 2018, Poznan, Poland. ⟨hal-01947849⟩
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