Patrick MEYER

Coordonnées :

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+33 2 29 00 14 63

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IMT Atlantique Bretagne-Pays de la Loire
Campus de Brest, Département LUSSI
Technopôle Brest-Iroise
CS 83818
29238 Brest cedex 03
France
Biographie

 

Patrick est actuellement Professeur à l'IMT Atlantique, chercheur de l'UMR Lab-STICC, et co-responsable de l'équipe de recherche DECIDE du Lab-STICC. 

Il a obtenu son doctorat en mathématiques et en sciences de l'ingénieur, en co-tutelle de l'Université du Luxembourg (L) et la Faculté Polytechnique de Mons (B) en 2007, et a également été chercheur à l'Université de Liège (B), et assistant d'enseignement et de recherche à l'Université du Luxembourg.

 

  • Aide Multi-Critère à la Décision
    • Algorithmes (surclassement, fonctions de valeurs)
    • Elicitation des préférences
    • Modélisation du processus d'aide à la décision
    • Outils de soutien au processus d'aide à la décision
    • Méthodes approchées pour l'élicitation des préférences
  • Fouille et analyse de données
Publications HAL
Chapitre d'ouvrage
Barcomb Ann, Jullien Nicolas, Meyer Patrick, Olteanu Alexandru Liviu
Integrating managerial preferences into the qualitative multi-criteria evaluation of team members
Sandra Huber; Martin Josef Geiger; Adiel Teixeira de Almeida. Multiple Criteria Decision Making and Aiding: Cases on Models and Methods with Computer Implementations, 274, pp.95-143, 2018, International Series in Operations Research & Management Science, 978-3-319-99304-1
Bibtext :
@incollection{barcomb:hal-01987295,
TITLE = {{Integrating managerial preferences into the qualitative multi-criteria evaluation of team members}},
AUTHOR = {Barcomb, Ann and JULLIEN, Nicolas and Meyer, Patrick and OLTEANU, Alexandru Liviu},
URL = {https://hal.archives-ouvertes.fr/hal-01987295},
BOOKTITLE = {{Multiple Criteria Decision Making and Aiding: Cases on Models and Methods with Computer Implementations}},
EDITOR = {Sandra Huber and Martin Josef Geiger and Adiel Teixeira de Almeida},
SERIES = {International Series in Operations Research \& Management Science},
VOLUME = {274},
PAGES = {95-143},
YEAR = {2018},
MONTH = Dec,
PDF = {https://hal.archives-ouvertes.fr/hal-01987295/file/Integrating_managerial_preferences_into_the_qualitative_multi_criteria_evaluation_of_team_members.pdf},
HAL_ID = {hal-01987295},
HAL_VERSION = {v1},
}
Endnote :
%0 Book Section
%T Integrating managerial preferences into the qualitative multi-criteria evaluation of team members
%+ Friedrich-Alexander Universität Erlangen-Nürnberg (FAU)
%+ Laboratoire d'Economie et de Gestion de l'Ouest (LEGO)
%+ Département Logique des Usages, Sciences sociales et Sciences de l'Information (IMT Atlantique - LUSSI)
%+ Môle Armoricain de Recherche sur la SOciété de l'information et des usages d'INternet (MARSOUIN)
%+ Lab-STICC_IMTA_CID_DECIDE
%+ Lab-STICC_UBS_CID_DECIDE
%A Barcomb, Ann
%A JULLIEN, Nicolas
%A Meyer, Patrick
%A OLTEANU, Alexandru Liviu
%@ 978-3-319-99304-1
%B Multiple Criteria Decision Making and Aiding: Cases on Models and Methods with Computer Implementations
%E Sandra Huber
%E Martin Josef Geiger
%E Adiel Teixeira de Almeida
%S International Series in Operations Research & Management Science
%V 274
%P 95-143
%8 2018-12-23
%D 2018
%Z Computer Science [cs]
%Z Computer Science [cs]/Operations Research [cs.RO]
%Z Computer Science [cs]/Artificial Intelligence [cs.AI]
%Z Humanities and Social Sciences
%Z Cognitive scienceBook sections
%X Managers can find it challenging to assess team members consistently and fairly. The ideal composition of qualities possessed by good team members depends on the organization, the team, and the manager. To enable managers to elucidate the qualities they require, we make use of an innovative methodology. This methodology is based on a multi-criteria decision aiding process, starting with the identification and definition of the dimensions that will be used to evaluate team members, then the inference of the manager's preferences through a multi-step protocol combining multiple types of preference models, and finally extracting a set of rules that can support the manager in his/her tasks. We illustrate this methodology in the case of free/libre/open source software development teams, where we were able to elicit the characteristics of a good, acceptable or bad contributor based on multiple managers' perspectives. We additionally provide an example on how to reproduce this experiment using the MCDA package for the R statistical environment.
%G English
%2 https://hal.archives-ouvertes.fr/hal-01987295/document
%2 https://hal.archives-ouvertes.fr/hal-01987295/file/Integrating_managerial_preferences_into_the_qualitative_multi_criteria_evaluation_of_team_members.pdf
%L hal-01987295
%U https://hal.archives-ouvertes.fr/hal-01987295
%~ CNRS
%~ UNIV-BREST
%~ UNIV-UBS
%~ INSTITUT-TELECOM
%~ ENIB
%~ LAB-STICC_UBS
%~ LAB-STICC
%~ UNIV-RENNES2
%~ UR2-HB
%~ SHS
%~ IMT-ATLANTIQUE
%~ LEGO
%~ UNIV-RENNES
%~ LAB-STICC_IMTA_CID_DECIDE
%~ IMTA_LUSSI
%~ IBSHS
%~ UNIV-RENNES1
%~ UBS
%~ UR1-HAL
%~ MARSOUIN-IMTA
%~ LEGO-IMTA
%~ TEST-UR-CSS
%~ LAB-STICC_IMTA
%~ LEGO_IMTA
Communication dans un congrès
Valko Arthur, Olteanu Alexandru Liviu, Brosset David, Meyer Patrick
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
Bibtext :
@inproceedings{valko:hal-01947849,
TITLE = {{Integrating a temporal component into multi-criteria majority-rule sorting models}},
AUTHOR = {Valko, Arthur and OLTEANU, Alexandru Liviu and Brosset, David and Meyer, Patrick},
URL = {https://hal.archives-ouvertes.fr/hal-01947849},
BOOKTITLE = {{DA2PL'2018: from Multiple Criteria Decision Aid to Preference Learning}},
ADDRESS = {Poznan, Poland},
YEAR = {2018},
MONTH = Nov,
HAL_ID = {hal-01947849},
HAL_VERSION = {v1},
}
Endnote :
%0 Conference Paper
%F Oral
%T Integrating a temporal component into multi-criteria majority-rule sorting models
%+ Chaire cyberdéfense systèmes navals (Ecole Navale, IMT-Atlantique, THALES, DCNS)
%+ Lab-STICC_UBS_CID_DECIDE
%+ Institut de Recherche de l'Ecole Navale (EA 3634) (IRENAV)
%+ Département Logique des Usages, Sciences sociales et Sciences de l'Information (LUSSI)
%A Valko, Arthur
%A OLTEANU, Alexandru Liviu
%A Brosset, David
%A Meyer, Patrick
%< avec comité de lecture
%B DA2PL'2018: from Multiple Criteria Decision Aid to Preference Learning
%C Poznan, Poland
%8 2018-11-22
%D 2018
%Z Computer Science [cs]
%Z Computer Science [cs]/Operations Research [cs.RO]Conference papers
%G English
%L hal-01947849
%U https://hal.archives-ouvertes.fr/hal-01947849
%~ LAB-STICC_UBS
%~ UBS
%~ CNRS
%~ UNIV-BREST
%~ UNIV-UBS
%~ INSTITUT-TELECOM
%~ ENIB
%~ LAB-STICC
%~ IMT-ATLANTIQUE
%~ IMTA_LUSSI
%~ LAB-STICC_IMTA
Communication dans un congrès
Khannoussi Arwa, Olteanu Alexandru Liviu, Dezan Catherine, Diguet Jean-Philippe, Labreuche Christophe, Petit-Frère Jacques, Meyer Patrick
Incremental Learning of Simple Ranking Method Using Reference Profiles Models
DA2PL'2018: from Multiple Criteria Decision Aid to Preference Learning, Nov 2018, Poznan, Poland
Bibtext :
@inproceedings{khannoussi:hal-01947860,
TITLE = {{Incremental Learning of Simple Ranking Method Using Reference Profiles Models}},
AUTHOR = {Khannoussi, Arwa and OLTEANU, Alexandru Liviu and Dezan, Catherine and Diguet, Jean-Philippe and Labreuche, Christophe and Petit-Fr{\`e}re, Jacques and Meyer, Patrick},
URL = {https://hal.archives-ouvertes.fr/hal-01947860},
BOOKTITLE = {{DA2PL'2018: from Multiple Criteria Decision Aid to Preference Learning}},
ADDRESS = {Poznan, Poland},
YEAR = {2018},
MONTH = Nov,
HAL_ID = {hal-01947860},
HAL_VERSION = {v1},
}
Endnote :
%0 Conference Paper
%F Oral
%T Incremental Learning of Simple Ranking Method Using Reference Profiles Models
%+ Lab-STICC_IMTA_CID_DECIDE
%+ Lab-STICC_UBS_CID_DECIDE
%+ Lab-STICC_UBO_CACS_MOCS
%+ Lab-STICC_UBS_CACS_MOCS
%+ Unité mixte de physique CNRS/Thalès (UMP CNRS/THALES)
%+ Département Logique des Usages, Sciences sociales et Sciences de l'Information (LUSSI)
%A Khannoussi, Arwa
%A OLTEANU, Alexandru Liviu
%A Dezan, Catherine
%A Diguet, Jean-Philippe
%A Labreuche, Christophe
%A Petit-Frère, Jacques
%A Meyer, Patrick
%< avec comité de lecture
%B DA2PL'2018: from Multiple Criteria Decision Aid to Preference Learning
%C Poznan, Poland
%8 2018-11-22
%D 2018
%Z Computer Science [cs]
%Z Computer Science [cs]/Operations Research [cs.RO]Conference papers
%G English
%L hal-01947860
%U https://hal.archives-ouvertes.fr/hal-01947860
%~ LAB-STICC_UBS
%~ UBS
%~ CNRS
%~ UNIV-BREST
%~ UNIV-UBS
%~ INSTITUT-TELECOM
%~ ENIB
%~ LAB-STICC_ENIB
%~ LAB-STICC
%~ LAB-STICC_UBO_CACS
%~ LAB-STICC_UBO
%~ IMT-ATLANTIQUE
%~ LAB-STICC_IMTA_CID_DECIDE
%~ IMTA_LUSSI
%~ IBNM
%~ LAB-STICC_IMTA
Communication dans un congrès
Khannoussi Arwa, Olteanu Alexandru Liviu, Dezan Catherine, Diguet Jean-Philippe, Meyer Patrick
Incremental preference elicitation for SRMP models: Application for autonomous drones
88th Meeting of the EURO Working Group Multiple Criteria Decision Aiding, Sep 2018, Lisbonne, Portugal
Bibtext :
@inproceedings{khannoussi:hal-01886972,
TITLE = {{Incremental preference elicitation for SRMP models: Application for autonomous drones}},
AUTHOR = {Khannoussi, Arwa and OLTEANU, Alexandru Liviu and Dezan, Catherine and Diguet, Jean-Philippe and Meyer, Patrick},
URL = {https://hal-imt-atlantique.archives-ouvertes.fr/hal-01886972},
BOOKTITLE = {{88th Meeting of the EURO Working Group Multiple Criteria Decision Aiding}},
ADDRESS = {Lisbonne, Portugal},
YEAR = {2018},
MONTH = Sep,
HAL_ID = {hal-01886972},
HAL_VERSION = {v1},
}
Endnote :
%0 Conference Paper
%F Oral
%T Incremental preference elicitation for SRMP models: Application for autonomous drones
%+ Lab-STICC_IMTA_CID_DECIDE
%+ Lab-STICC_UBO_CACS_MOCS
%+ Département Logique des Usages, Sciences sociales et Sciences de l'Information (IMT Atlantique - LUSSI)
%+ Lab-STICC_UBS_CID_DECIDE
%+ Lab-STICC_UBO_CACS_MOCS
%+ Lab-STICC_UBS_CACS_MOCS
%A Khannoussi, Arwa
%A OLTEANU, Alexandru Liviu
%A Dezan, Catherine
%A Diguet, Jean-Philippe
%A Meyer, Patrick
%< avec comité de lecture
%B 88th Meeting of the EURO Working Group Multiple Criteria Decision Aiding
%C Lisbonne, Portugal
%8 2018-09-27
%D 2018
%Z Computer Science [cs]/Artificial Intelligence [cs.AI]
%Z Computer Science [cs]/Discrete Mathematics [cs.DM]
%Z Computer Science [cs]/Operations Research [cs.RO]Conference papers
%G English
%L hal-01886972
%U https://hal-imt-atlantique.archives-ouvertes.fr/hal-01886972
%~ IMT-ATLANTIQUE
%~ CNRS
%~ UNIV-BREST
%~ UNIV-UBS
%~ INSTITUT-TELECOM
%~ LAB-STICC_ENIB
%~ ENIB
%~ TDS-MACS
%~ LAB-STICC_UBS
%~ LAB-STICC
%~ LAB-STICC_UBO_CACS
%~ LAB-STICC_UBO
%~ IMTA_LUSSI
%~ LAB-STICC_IMTA_CID_DECIDE
%~ UBS
%~ LAB-STICC_IMTA
%~ IBNM
Communication dans un congrès
Valko Arthur, Olteanu Alexandru Liviu, Brosset David, Meyer Patrick
Integrating time into majority-rule sorting models: application to the cyber-defense context
15th Decision Deck Workshop, Sep 2018, Lisbonne, Portugal
Bibtext :
@inproceedings{valko:hal-01886987,
TITLE = {{Integrating time into majority-rule sorting models: application to the cyber-defense context}},
AUTHOR = {Valko, Arthur and OLTEANU, Alexandru Liviu and Brosset, David and Meyer, Patrick},
URL = {https://hal-imt-atlantique.archives-ouvertes.fr/hal-01886987},
BOOKTITLE = {{15th Decision Deck Workshop}},
ADDRESS = {Lisbonne, Portugal},
YEAR = {2018},
MONTH = Sep,
HAL_ID = {hal-01886987},
HAL_VERSION = {v1},
}
Endnote :
%0 Conference Paper
%F Oral
%T Integrating time into majority-rule sorting models: application to the cyber-defense context
%+ Chaire cyberdéfense systèmes navals (Ecole Navale, IMT-Atlantique, THALES, DCNS)
%+ Lab-STICC_IMTA_CID_DECIDE
%+ Lab-STICC_UBS_CID_DECIDE
%+ Département Logique des Usages, Sciences sociales et Sciences de l'Information (LUSSI)
%A Valko, Arthur
%A OLTEANU, Alexandru Liviu
%A Brosset, David
%A Meyer, Patrick
%< avec comité de lecture
%B 15th Decision Deck Workshop
%C Lisbonne, Portugal
%8 2018-09-26
%D 2018
%Z Computer Science [cs]/Artificial Intelligence [cs.AI]
%Z Computer Science [cs]/Discrete Mathematics [cs.DM]
%Z Computer Science [cs]/Operations Research [cs.RO]Conference papers
%G English
%L hal-01886987
%U https://hal-imt-atlantique.archives-ouvertes.fr/hal-01886987
%~ IMT-ATLANTIQUE
%~ CNRS
%~ UNIV-BREST
%~ UNIV-UBS
%~ INSTITUT-TELECOM
%~ ENIB
%~ TDS-MACS
%~ LAB-STICC_UBS
%~ LAB-STICC
%~ IMTA_LUSSI
%~ LAB-STICC_IMTA_CID_DECIDE
%~ UBS
%~ LAB-STICC_IMTA
Communication dans un congrès
Meyer Patrick, Bigaret Sébastien
Latest news and developments on Decision Deck
15th Decision Deck Workshop, Sep 2018, Lisbonne, Portugal
Bibtext :
@inproceedings{meyer:hal-01886979,
TITLE = {{Latest news and developments on Decision Deck}},
AUTHOR = {Meyer, Patrick and BIGARET, S{\'e}bastien},
URL = {https://hal-imt-atlantique.archives-ouvertes.fr/hal-01886979},
BOOKTITLE = {{15th Decision Deck Workshop}},
ADDRESS = {Lisbonne, Portugal},
YEAR = {2018},
MONTH = Sep,
HAL_ID = {hal-01886979},
HAL_VERSION = {v1},
}
Endnote :
%0 Conference Paper
%F Oral
%T Latest news and developments on Decision Deck
%+ Département Logique des Usages, Sciences sociales et Sciences de l'Information (LUSSI)
%+ Lab-STICC_IMTA_CID_DECIDE
%A Meyer, Patrick
%A BIGARET, Sébastien
%< avec comité de lecture
%B 15th Decision Deck Workshop
%C Lisbonne, Portugal
%8 2018-09-26
%D 2018
%Z Computer Science [cs]/Artificial Intelligence [cs.AI]
%Z Computer Science [cs]/Discrete Mathematics [cs.DM]
%Z Computer Science [cs]/Operations Research [cs.RO]Conference papers
%G English
%L hal-01886979
%U https://hal-imt-atlantique.archives-ouvertes.fr/hal-01886979
%~ IMT-ATLANTIQUE
%~ CNRS
%~ UNIV-BREST
%~ UNIV-UBS
%~ INSTITUT-TELECOM
%~ ENIB
%~ TDS-MACS
%~ LAB-STICC
%~ IMTA_LUSSI
%~ LAB-STICC_IMTA_CID_DECIDE
%~ LAB-STICC_IMTA
Article dans une revue
Mabrouk Mohamed, Haurant Pierrick, Dessarthe Vincent, Meyer Patrick, Lacarrière Bruno
Combining a dynamic simulation tool and a multi-criteria decision aiding algorithm for improving existing District Heating
Energy Procedia, Elsevier, 2018, 149, pp.266 - 275. ⟨10.1016/j.egypro.2018.08.191⟩
Bibtext :
@article{mabrouk:hal-01877938,
TITLE = {{Combining a dynamic simulation tool and a multi-criteria decision aiding algorithm for improving existing District Heating}},
AUTHOR = {Mabrouk, Mohamed and Haurant, Pierrick and Dessarthe, Vincent and Meyer, Patrick and Lacarri{\`e}re, Bruno},
URL = {https://hal.archives-ouvertes.fr/hal-01877938},
JOURNAL = {{Energy Procedia}},
PUBLISHER = {{Elsevier}},
VOLUME = {149},
PAGES = {266 - 275},
YEAR = {2018},
MONTH = Sep,
DOI = {10.1016/j.egypro.2018.08.191},
KEYWORDS = {Multicriteria decision aiding ; modelling ; Climate change Keywords: District heating ; Heat demand ; Multicriteria decision aiding Keywords: District heating ; Forecast ; Return pipe},
PDF = {https://hal.archives-ouvertes.fr/hal-01877938/file/Mabrouk%20et%20al.%20-%202018%20-%20Combining%20a%20dynamic%20simulation%20tool%20and%20a%20multi-cr.pdf},
HAL_ID = {hal-01877938},
HAL_VERSION = {v1},
}
Endnote :
%0 Journal Article
%T Combining a dynamic simulation tool and a multi-criteria decision aiding algorithm for improving existing District Heating
%+ Optimisation - Système - Energie (GEPEA-OSE)
%+ Département Systèmes énergétiques et environnement (IMT Atlantique - DSEE)
%+ Lab-STICC_IMTA_CID_DECIDE
%+ Département Logique des Usages, Sciences sociales et Sciences de l'Information (IMT Atlantique - LUSSI)
%A Mabrouk, Mohamed
%A Haurant, Pierrick
%A Dessarthe, Vincent
%A Meyer, Patrick
%A Lacarrière, Bruno
%< avec comité de lecture
%@ 1876-6102
%J Energy Procedia
%I Elsevier
%V 149
%P 266 - 275
%8 2018-09
%D 2018
%R 10.1016/j.egypro.2018.08.191
%K Multicriteria decision aiding
%K modelling
%K Climate change Keywords: District heating
%K Heat demand
%K Multicriteria decision aiding Keywords: District heating
%K Forecast
%K Return pipe
%Z Engineering Sciences [physics]/Mechanics [physics.med-ph]/Thermics [physics.class-ph]
%Z Computer Science [cs]/Operations Research [cs.RO]Journal articles
%X District heating networks are commonly addressed in the literature as one of the most effective solutions for decreasing the greenhouse gas emissions from the building sector. These systems require high investments which are returned through the heat sales. Due to the changed climate conditions and building renovation policies, heat demand in the future could decrease, prolonging the investment return period. The main scope of this paper is to assess the feasibility of using the heat demand-outdoor temperature function for heat demand forecast. The district of Alvalade, located in Lisbon (Portugal), was used as a case study. The district is consisted of 665 buildings that vary in both construction period and typology. Three weather scenarios (low, medium, high) and three district renovation scenarios were developed (shallow, intermediate, deep). To estimate the error, obtained heat demand values were compared with results from a dynamic heat demand model, previously developed and validated by the authors. The results showed that when only weather change is considered, the margin of error could be acceptable for some applications (the error in annual demand was lower than 20% for all weather scenarios considered). However, after introducing renovation scenarios, the error value increased up to 59.5% (depending on the weather and renovation scenarios combination considered). The value of slope coefficient increased on average within the range of 3.8% up to 8% per decade, that corresponds to the decrease in the number of heating hours of 22-139h during the heating season (depending on the combination of weather and renovation scenarios considered). On the other hand, function intercept increased for 7.8-12.7% per decade (depending on the coupled scenarios). The values suggested could be used to modify the function parameters for the scenarios considered, and improve the accuracy of heat demand estimations. Abstract The work aims to evaluate the recovering potential of excess heat in the return pipe of a district heating (DH) for heating some substations. The proposed method combines a DH simulation tool and a multi-criteria decision aiding algorithm. It is based on the analysis of the measured return temperatures at each sub-station in order to identify those with high potential of efficiency gains by using the return flow (with support of the supply pipe when needed). Combinations of substations from this set of eligible ones define potential scenarios of connection to the return pipe. The impacts of each scenario on the DH operational performance and the energy savings are evaluated with a detailed hydro-thermal model. The technical parameters and the energy efficiency are not the only points of view in the selection process "of best compromise" scenarios for the improvement of the DH, so that we propose a complex decision aiding process, involving multiple criteria, dealing with different points of view (economic, energy, technical…) and different decision makers. The evaluations of the scenarios on the criteria are summed up in a so-called performance table and aggregated by an outranking model (MR-Sort) to identify relevant scenarios. This methodology is illustrated by the example of a part of the DH in Nantes (France). Interpretation of data from substations of a specific branch showed the potential of connecting some of them to the return pipe. Six scenarios were generated and evaluated with four criteria. Then, the Multi-criteria Decision Aiding method associated to two actors who have different priorities lead to not obvious results at a first glance. Abstract The work aims to evaluate the recovering potential of excess heat in the return pipe of a district heating (DH) for heating some substations. The proposed method combines a DH simulation tool and a multi-criteria decision aiding algorithm. It is based on the analysis of the measured return temperatures at each sub-station in order to identify those with high potential of efficiency gains by using the return flow (with support of the supply pipe when needed). Combinations of substations from this set of eligible ones define potential scenarios of connection to the return pipe. The impacts of each scenario on the DH operational performance and the energy savings are evaluated with a detailed hydro-thermal model. The technical parameters and the energy efficiency are not the only points of view in the selection process "of best compromise" scenarios for the improvement of the DH, so that we propose a complex decision aiding process, involving multiple criteria, dealing with different points of view (economic, energy, technical…) and different decision makers. The evaluations of the scenarios on the criteria are summed up in a so-called performance table and aggregated by an outranking model (MR-Sort) to identify relevant scenarios. This methodology is illustrated by the example of a part of the DH in Nantes (France). Interpretation of data from substations of a specific branch showed the potential of connecting some of them to the return pipe. Six scenarios were generated and evaluated with four criteria. Then, the Multi-criteria Decision Aiding method associated to two actors who have different priorities lead to not obvious results at a first glance.
%G English
%2 https://hal.archives-ouvertes.fr/hal-01877938/document
%2 https://hal.archives-ouvertes.fr/hal-01877938/file/Mabrouk%20et%20al.%20-%202018%20-%20Combining%20a%20dynamic%20simulation%20tool%20and%20a%20multi-cr.pdf
%L hal-01877938
%U https://hal.archives-ouvertes.fr/hal-01877938
%~ CNRS
%~ UNIV-BREST
%~ UNIV-UBS
%~ INSTITUT-TELECOM
%~ UNAM
%~ ENIB
%~ LAB-STICC
%~ GEPEA-OSE-IMTA
%~ AGREENIUM
%~ GEPEA
%~ IMT-ATLANTIQUE
%~ IMTA_DSEE
%~ UNIV-NANTES
%~ LAB-STICC_IMTA
%~ GEPEA-IMTA
%~ GEPEA-OSE
%~ LAB-STICC_IMTA_CID_DECIDE
%~ IMTA_LUSSI
Communication dans un congrès
Khannoussi Arwa, Meyer Patrick, Dezan Catherine, Diguet Jean-Philippe, Olteanu Alexandru Liviu
Traceable decisions for autonomous unmanned aerial vehicles
ROADEF 2018, Feb 2018, Lorient, France
Bibtext :
@inproceedings{khannoussi:hal-01740032,
TITLE = {{Traceable decisions for autonomous unmanned aerial vehicles}},
AUTHOR = {Khannoussi, Arwa and Meyer, Patrick and Dezan, Catherine and Diguet, Jean-Philippe and OLTEANU, Alexandru Liviu},
URL = {https://hal.univ-brest.fr/hal-01740032},
BOOKTITLE = {{ROADEF 2018}},
ADDRESS = {Lorient, France},
YEAR = {2018},
MONTH = Feb,
HAL_ID = {hal-01740032},
HAL_VERSION = {v1},
}
Endnote :
%0 Conference Paper
%F Oral
%T Traceable decisions for autonomous unmanned aerial vehicles
%+ Lab-STICC_IMTA_CID_DECIDE
%+ Lab-STICC_UBO_CACS_MOCS
%+ Département Logique des Usages, Sciences sociales et Sciences de l'Information (IMT Atlantique - LUSSI)
%+ Lab-STICC_UBO_CACS_MOCS
%+ Lab-STICC_UBS_CACS_MOCS
%+ Lab-STICC_UBS_CID_DECIDE
%A Khannoussi, Arwa
%A Meyer, Patrick
%A Dezan, Catherine
%A Diguet, Jean-Philippe
%A OLTEANU, Alexandru Liviu
%< avec comité de lecture
%B ROADEF 2018
%C Lorient, France
%8 2018-02-21
%D 2018
%Z Computer Science [cs]/Artificial Intelligence [cs.AI]
%Z Computer Science [cs]/Human-Computer Interaction [cs.HC]Conference papers
%G English
%Z Projet LATERAL IMPRESSING
%L hal-01740032
%U https://hal.univ-brest.fr/hal-01740032
%~ UNIV-BREST
%~ CNRS
%~ UNIV-UBS
%~ INSTITUT-TELECOM
%~ ENIB
%~ LAB-STICC_ENIB
%~ LAB-STICC_UBS
%~ LAB-STICC
%~ LAB-STICC_UBO_CACS
%~ LAB-STICC_UBO
%~ UBS
%~ LAB-STICC_IMTA_CID_DECIDE
%~ IMTA_LUSSI
%~ IMT-ATLANTIQUE
%~ LAB-STICC_IMTA
%~ IBNM
Article dans une revue
Bigaret Sébastien, Hodgett Richard, Meyer Patrick, Mironova Tatyana, Olteanu Alexandru Liviu
Supporting the multi-criteria decision aiding process: R and the MCDA package
EURO journal on decision processes, 2017, 5 (1–4), pp.169 - 194. ⟨10.1007/s40070-017-0064-1⟩
Bibtext :
@article{bigaret:hal-01656060,
TITLE = {{Supporting the multi-criteria decision aiding process: R and the MCDA package}},
AUTHOR = {Bigaret, S{\'e}bastien and Hodgett, Richard and Meyer, Patrick and Mironova, Tatyana and Olteanu, Alexandru Liviu},
URL = {https://hal.archives-ouvertes.fr/hal-01656060},
JOURNAL = {{EURO journal on decision processes}},
HAL_LOCAL_REFERENCE = {17830},
VOLUME = {5},
NUMBER = {1--4},
PAGES = {169 - 194},
YEAR = {2017},
MONTH = Nov,
DOI = {10.1007/s40070-017-0064-1},
KEYWORDS = {R ; MCDA ; Decision aiding process},
HAL_ID = {hal-01656060},
HAL_VERSION = {v1},
}
Endnote :
%0 Journal Article
%T Supporting the multi-criteria decision aiding process: R and the MCDA package
%+ Lab-STICC_IMTA_CID_DECIDE
%+ Département Logique des Usages, Sciences sociales et Sciences de l'Information (IMT Atlantique - LUSSI)
%+ Leeds University Business School (The University of Leeds)
%A Bigaret, Sébastien
%A Hodgett, Richard
%A Meyer, Patrick
%A Mironova, Tatyana
%A Olteanu, Alexandru Liviu
%< avec comité de lecture
%Z 17830
%@ 2193-9438
%J EURO journal on decision processes
%V 5
%N 1–4
%P 169 - 194
%8 2017-11
%D 2017
%R 10.1007/s40070-017-0064-1
%K R
%K MCDA
%K Decision aiding process
%Z Computer Science [cs]/Computers and Society [cs.CY]
%Z Computer Science [cs]/Operations Research [cs.RO]Journal articles
%X Reaching a decision when multiple, possibly conflicting, criteria aretaken into account is often a difficult task. This normally requires the intervent ion ofan analyst to aid the decision mak er in following a clear methodology with respectto the steps that need to be taken, as well as the use of different algorithms andsoftware tools. Most of these tools focus on one or a small number of algorithms,some are difficult to adapt and interface with other tools, while only a few belong todynamic communities of contributors allowing them to expand in use and func-tionality. In this paper, we address these issues by proposing to use the R statisticalenvironment and the MCDA package of decision aiding algorithms and tools. Thispackage is meant to provide a wide range of MCDA algorithms that may be used byan analyst to tailor a decision aiding process to their needs, while the choice of Rtakes advantage of the yet poorly explored opportunity to interface data analysis anddecision aiding. We additionally demonstrate the use o f this tool on a practicalapplication following a well -defined decision aiding process.
%G English
%L hal-01656060
%U https://hal.archives-ouvertes.fr/hal-01656060
%~ TELECOM-BRETAGNE
%~ INSTITUT-TELECOM
%~ CNRS
%~ UNIV-UBS
%~ ENIB
%~ TDS-MACS
%~ LAB-STICC
%~ UNIV-BREST
%~ IMTA_LUSSI
%~ LAB-STICC_IMTA_CID_DECIDE
%~ IMT-ATLANTIQUE
%~ LAB-STICC_IMTA
Communication dans un congrès
Olteanu Alexandru Liviu, Meyer Patrick, Barcomb Ann, Jullien Nicolas
Towards a Protocol for Inferring Preferences Using Majority-rule Sorting Models
ADT 2017: 5th International Conference on Algorithmic Decision Theor, Oct 2017, Luxembourg, Luxembourg. pp.35 - 49, ⟨10.1007/978-3-319-67504-6_3⟩
Bibtext :
@inproceedings{olteanu:hal-01624693,
TITLE = {{Towards a Protocol for Inferring Preferences Using Majority-rule Sorting Models}},
AUTHOR = {Olteanu, Alexandru Liviu and Meyer, Patrick and Barcomb, Ann and JULLIEN, Nicolas},
URL = {https://hal.archives-ouvertes.fr/hal-01624693},
BOOKTITLE = {{ADT 2017: 5th International Conference on Algorithmic Decision Theor}},
ADDRESS = {Luxembourg, Luxembourg},
HAL_LOCAL_REFERENCE = {18297},
PUBLISHER = {{Springer}},
PAGES = {35 - 49},
YEAR = {2017},
MONTH = Oct,
DOI = {10.1007/978-3-319-67504-6\_3},
HAL_ID = {hal-01624693},
HAL_VERSION = {v1},
}
Endnote :
%0 Conference Proceedings
%T Towards a Protocol for Inferring Preferences Using Majority-rule Sorting Models
%+ Lab-STICC_IMTA_CID_DECIDE
%+ Département Logique des Usages, Sciences sociales et Sciences de l'Information (IMT Atlantique - LUSSI)
%+ Lero, the Irish Software Research Centre (University of Limerick) (Lero)
%+ Môle Armoricain de Recherche sur la SOciété de l'information et des usages d'INternet (MARSOUIN)
%+ Laboratoire d'Economie et de Gestion de l'Ouest (LEGO)
%A Olteanu, Alexandru Liviu
%A Meyer, Patrick
%A Barcomb, Ann
%A JULLIEN, Nicolas
%< avec comité de lecture
%Z 18297
%( Proceedings ADT 2017: 5th International Conference on Algorithmic Decision Theor
%B ADT 2017: 5th International Conference on Algorithmic Decision Theor
%C Luxembourg, Luxembourg
%I Springer
%P 35 - 49
%8 2017-10-25
%D 2017
%R 10.1007/978-3-319-67504-6_3
%Z Computer Science [cs]/Computers and Society [cs.CY]
%Z Humanities and Social Sciences/Business administrationConference papers
%X In Multi-Criteria Decision Aiding, one of the current challenges involves the proper integration and tuning of the preference models in real-life contexts. In this article, we consider the multi-criteria sorting problem where the decision maker's preferences fall within the outranking paradigm. Following recent advances on extensions of classical majority-rule sorting models, we propose a methodology for adapting them to the perspective of the decision maker. We illustrate the application of the methodology on a real-world problem linked to the evaluation of contributors within Free/Libre Open Source Software communities. The experiments that we have carried out show that the various considered model extensions appear to be useful from the perspective of decision makers in a real-life preference elicitation process, and that the proposed methodology gives useful indications that can serve as guidelines for analysts involved in other elicitation processes.
%G English
%L hal-01624693
%U https://hal.archives-ouvertes.fr/hal-01624693
%~ INSTITUT-TELECOM
%~ TELECOM-BRETAGNE
%~ CNRS
%~ UNIV-UBS
%~ ENIB
%~ TDS-MACS
%~ LAB-STICC
%~ UNIV-RENNES1
%~ UNIV-RENNES2
%~ UNIV-BREST
%~ UR2-HB
%~ SHS
%~ UR1-HAL
%~ TEST-UNIV-RENNES
%~ TEST-UR-CSS
%~ LAB-STICC_IMTA_CID_DECIDE
%~ IMTA_LUSSI
%~ LEGO_IMTA
%~ LEGO
%~ UNIV-RENNES
%~ IMT-ATLANTIQUE
%~ LAB-STICC_IMTA
%~ LEGO-IMTA
%~ MARSOUIN-IMTA
%~ IBSHS
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