Fuzzy multi-objective truck scheduling in multi-modal rail–road Physical Internet hubs

Autor: Essghaier, Fatma, Chargui, Tarik, Hsu, Tiente, Bekrar, Abdelghani, Allaoui, Hamid, Trentesaux, Damien, Goncalves, Gilles

Publikováno v: In Computers & Industrial Engineering August 2023 182

Truck to door assignment in a shared cross-dock under uncertainty

Autor: Essghaier, Fatma, Allaoui, Hamid, Goncalves, Gilles

Publikováno v: In Expert Systems With Applications 15 November 2021 182

Towards a fall prevention system design by using ontology

Autor: Essghaier, Fatma, Delcroix, Véronique, Marçal de Oliveira, Káthia, Puisieux, François, Gaxatte, Cédric, Pudlo, Philippe

Publikováno v: Plate-Forme PFIA
Plate-Forme PFIA, Jul 2019, Toulouse, France

5ème Atelier IN-OVIVE "INtégration de sources/masses de données hétérogènes et Ontologies, dans le domaine des sciences du VIVant et de l’Environnement", en lien avec les Journées francophones d'Ingénierie des Connaissances; National audien

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5c06720004209930cf0758f7a9338cc4
https://hal-uphf.archives-ouvertes.fr/hal-03519628

Egalitarian Collective Decision Making under Qualitative Possibilistic Uncertainty: Principles and Characterization

Autor: Ben Amor, Nahla, Essghaier, Fatma, Fargier, Hélène

Publikováno v: AAAI'15 Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence
29th AAAI Conference on Artificial Intelligence (AAAI 2015)
29th AAAI Conference on Artificial Intelligence (AAAI 2015), Jan 2015, Austin, TX, United States. pp.3482-3488

This paper raises the question of collective decisionmaking under possibilistic uncertainty; We study fouregalitarian decision rules and show that in the contextof a possibilistic representation of uncertainty, the useof an egalitarian collective uti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4dbebd2d617f3bafa5563da8324bc81
https://doi.org/10.1609/aaai.v29i1.9697

Solving multi-criteria decision problems under possibilistic uncertainty using optimistic and pessimistic utilities

Autor: Ben Amor, Nahla, Essghaier, Fatma, Fargier, Hélène

Publikováno v: International Conference, Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU)
International Conference, Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU), Jul 2014, Montpellier, France. pp.269-279

International audience; This paper proposes a qualitative approach to solve multi-criteria decision making problems under possibilistic uncertainty. De-pending on the decision maker attitude with respect to uncertainty (i.e. optimistic or pessimistic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::eddfe4eb9624705c12ea71a3f5685356
https://hal.archives-ouvertes.fr/hal-01109805