Laboratoire de Génie Informatique et d’Automatique de l’Artois

Amel ENNACEUR

Ph.D. student
(Position when this person departed from the LGI2A)
Member of the research axes:
2016
International journal with review committee
Amel ENNACEUR -- Zied ELOUEDI -- Eric LEFEVRE
Belief AHP method: AHP method with the belief function framework
International Journal of Information Technology & Decision Making, IJITDM, pp 553-573, Vol. 15, No. 3, mai 2016
2015
International conference with review committee
Amel ENNACEUR -- Zied ELOUEDI -- Eric LEFEVRE
Qualitative AHP Models under the Belief Function Framework
15th International Conference on Intelligent Systems Design and Applications, ISDA'2015, décembre 2015
2015
International conference with review committee
Amel ENNACEUR -- Zied ELOUEDI -- Eric LEFEVRE
Comparison of belief AHP models using a simulation study
16th World Congress of the International Fuzzy Systems Association (IFSA) and 9th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), IFSA-EUSFLAT, juillet 2015
Amel ENNACEUR -- Zied ELOUEDI -- Eric LEFEVRE
Modeling qualitative assessements under the belief function framework
3rd International Conference on Belief Functions, BELIEF 2014, pp 171-179, Oxford, United Kingdom, F. Cuzzolin (Ed.), septembre 2014
Amel ENNACEUR -- Zied ELOUEDI -- Eric LEFEVRE
Multi-criteria decision making method with belief preference relations
International Journal of Uncertainty, Fuzziness and Knowledge-based Systems, IJUFKS, pp 573-590, Vol. 22, No. 4, août 2014
2014
International conference with review committee
Amel ENNACEUR -- Zied ELOUEDI -- Eric LEFEVRE
An extension of the analytic hierarchy process method under the belief function framework
15th Information Processing and Management of Uncertainty in Knowledge-Based Systems International Conference, IPMU 2014, pp 233-242, Montpellier, France, juillet 2014
2013
International conference with review committee
Amel ENNACEUR -- Zied ELOUEDI -- Eric LEFEVRE
Modeling expert preference using the qualitative Belief function framework
13th International Conference Intelligent Systems Design and Applications, ISDA 2013, pp 98-103, décembre 2013
Amel ENNACEUR -- Zied ELOUEDI -- Eric LEFEVRE
Multicriteria decison making based on qualitative assessments and relational belief
13th International Conference of the Italian Association for Artificial Intelligence, AIxIA'2013, AIxIA 2013, pp 48-59, Turin, Italie, décembre 2013
2013
French conference with review committee
Amel ENNACEUR -- Zied ELOUEDI -- Eric LEFEVRE
Traitement de l’incertitude à l’aide des relations de préférence dans une méthode de décision multicritères
Rencontres Francophones sur la Logique Floue et ses Applications, LFA'2013, pp 137-144, octobre 2013
2012
International conference with review committee
Amel ENNACEUR -- Zied ELOUEDI -- Eric LEFEVRE
Introducing incomparability in modeling qualitative belief functions
9th International Conference on Modeling Decisions for Artificial Intelligence, MDAI'12, pp 382-393, Springer-Verlag, novembre 2012
2012
International conference with review committee
Amel ENNACEUR -- Zied ELOUEDI -- Eric LEFEVRE
Reasoning under Uncertainty in the AHP Method Using the Belief Function Theory
14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU'2012, pp 373-382, Springer-Verlag, juillet 2012
2011
International conference with review committee
Amel ENNACEUR -- Zied ELOUEDI -- Eric LEFEVRE
Handling Partial Preferences in the Belief AHP Method: Application to Life Cycle Assessment
Artificial Intelligence Around Man and Beyond - XIIth International Conference of the Italian Association for Artificial Intelligence, AI x IA'2011, pp 395-400, Vol. Springer, LNCS 6934, Palerme, Italie, septembre 2011

Author of the Ph.D. thesis " New AHP methods for handling uncertainty within the Belief Function Theory"

2012 - 2015

Multi-criteria decision making is the study of identifying and choosing alternatives to find the best solution based on different criteria and considering the decision makers’ expectations. However, the expert assessments are sometimes expressed imperfectly. Belief function theory can then provide more flexible and reliable tools to manage different types of imperfection. Thus, in this thesis, we are interested in multi-criteria decision making in an uncertain framework by extending the Analytic Hierarchy Process (AHP) method to the belief function framework. After presenting the theoretical foundations of the AHP method, we proposed an approach that reduces the number of pair-wise comparisons by judging subsets of criteria and alternatives. In addition, we examined the dependence between the criteria and alternatives. In this case, the uncertainty is given in terms of conditional mass distributions. Another part of the work provides critical concerning the pair-wise comparison process. For this purpose, we proposed two approaches. The first expert judgment elicitation method is based on mass distributions, while the second one is based on preference relations. In this context, we have introduced a model that is able to generate quantitative mass distributions from preference relations. Thus, we have developed a multi-criteria decision making method that imitates human reasoning. This method gives better and more robust results than existing approaches.