Integrating a temporal component into multi-criteria majority-rule sorting models
MEYER, Patrick
Département Logique des Usages, Sciences sociales et Sciences de l'Information [LUSSI]
< Reduce
Département Logique des Usages, Sciences sociales et Sciences de l'Information [LUSSI]
Language
en
Communication dans un congrès avec actes
This item was published in
DA2PL'2018: from Multiple Criteria Decision Aid to Preference Learning, 2018-11-22, Poznan.
English Abstract
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 ...Read more >
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.Read less <
English Keywords
multi-criteria decision aiding
sorting
outranking relation
mixed-integer programming
times series
Origin
Hal imported