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Integrating a temporal component into multi-criteria majority-rule sorting models
hal.structure.identifier | Chaire cyberdéfense systèmes navals (Ecole Navale, IMT-Atlantique, THALES, DCNS) | |
dc.contributor.author | VALKO, Arthur | |
hal.structure.identifier | Lab-STICC_UBS_CID_DECIDE | |
dc.contributor.author | OLTEANU, Alexandru Liviu | |
hal.structure.identifier | Institut de Recherche de l'Ecole Navale [IRENAV] | |
dc.contributor.author | BROSSET, David | |
hal.structure.identifier | Département Logique des Usages, Sciences sociales et Sciences de l'Information [LUSSI] | |
dc.contributor.author | MEYER, Patrick | |
dc.date.accessioned | 2021-05-14T09:45:06Z | |
dc.date.available | 2021-05-14T09:45:06Z | |
dc.date.conference | 2018-11-22 | |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/76920 | |
dc.description.abstractEn | 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. | |
dc.language.iso | en | |
dc.subject.en | multi-criteria decision aiding | |
dc.subject.en | sorting | |
dc.subject.en | outranking relation | |
dc.subject.en | mixed-integer programming | |
dc.subject.en | times series | |
dc.title.en | Integrating a temporal component into multi-criteria majority-rule sorting models | |
dc.type | Communication dans un congrès avec actes | |
dc.subject.hal | Informatique [cs] | |
dc.subject.hal | Informatique [cs]/Recherche opérationnelle [cs.RO] | |
bordeaux.hal.laboratories | Institut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295 | * |
bordeaux.institution | Université de Bordeaux | |
bordeaux.institution | Bordeaux INP | |
bordeaux.institution | CNRS | |
bordeaux.institution | INRAE | |
bordeaux.institution | Arts et Métiers | |
bordeaux.country | PL | |
bordeaux.title.proceeding | DA2PL'2018: from Multiple Criteria Decision Aid to Preference Learning | |
bordeaux.conference.city | Poznan | |
bordeaux.peerReviewed | oui | |
hal.identifier | hal-01947849 | |
hal.version | 1 | |
hal.origin.link | https://hal.archives-ouvertes.fr//hal-01947849v1 | |
bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=VALKO,%20Arthur&OLTEANU,%20Alexandru%20Liviu&BROSSET,%20David&MEYER,%20Patrick&rft.genre=proceeding |
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