A generalized framework for concordance/discordance-based multi-criteria classification methods

FUSION 2007 - 2007 10th International Conference on Information Fusion

Volumn , Issue , 2007, Pages

  Jabeur, Khaled ^a   Guitouni, Adel ^a  

^a DEFENCE RESEARCH AND DEVELOPMENT CANADA VALCARTIER   (Canada)

Author keywords

Classification methods; Concordance; Discordance; Multi criteria classification; Pairwise comparison; Similarity index

Indexed keywords

CLASSIFIERS; DATA FUSION; FUSION REACTIONS; INFORMATION FUSION; LEARNING SYSTEMS; NUCLEAR PHYSICS; SENSOR DATA FUSION;

CLASSIFICATION METHODS; COMPUTATION ALGORITHMS; CONCORDANCE; DISCORDANCE; INFORMATION FUSION ALGORITHMS; INTERNATIONAL CONFERENCES; MULTI-CRITERIA; MULTI-CRITERIA CLASSIFICATION; MULTIPLE CRITERIA; PAIRWISE COMPARISON; SIMILARITY INDEX;

CLASSIFICATION (OF INFORMATION);

EID: 50149108368     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIF.2007.4408150     Document Type: Conference Paper

References (27)

1. Arhcer N.P. and Wang S. (1993), Application of the back propagation neural networks algorithm with monotonicity constraints for two group classification problems. Decision Sciences, Vol. 24, pp. 60-75.
2. Belacel N. (2000), Multi-criteria assignment method PROAFTN: Methodology and medical application, European Journal of Operational Research, Vol. 125, pp. 175-183.
3. Belacel N., Raval H. B. and Punnen, A. P. (2007), Learning multi-criteria fuzzy classification method PROAFTN from data, Computer and Operations Research, Vol. 34(7), pp. 1885-1898.
4. Brans J-P and Vincke, Ph, (1984), A preference ranking organisation method: the PROMETHEE method for multiple criteria decision-making, Management Science, Vol. 31(6), pp. 647-656.
5. Bouyssou D., T. Marchant, M. Pirlot, P. Perny, A. Tsoukias, P. Vincke (2000). Evaluation and Decision Models. A Critical Perspective. Kluwer Academic Publishers, Boston / London / Dordrecht.
6. Dias L., Mousseau V., Figueira J., and Climaco J., (2002), An aggregation/disaggregation approach to obtain robust conclusions with ELECTRE TRI, European Journal of Operational Research, Vol. 138(2), pp. 332-348.
7. Dias L. C. and Mousseau V., (2006), Inferring Electre's veto-related parameters from outranking examples. European Journal of Operational Research, Vol. 170(1), pp. 172-191.
8. Doumpos, M., Zopounidis, C., (1998), The use of the preference disaggregation analysis in the assessment of financial risks, Fuzzy Economic Review Vol. 3 (1), 39-57.
9. Figueira, J., De Smet, Y. and Brans, J-P. (2004), MCDA Methods for Sorting and Clustering Problems : PROMETHEE TRI and PROMETHEE CLUSTER, EURO XX - OR and the management of electronic services, Rhodes, Greece, 2004.
10. Henriet, L. (2000), Systèmes d'évaluation et de classification multicritère pour l'aide à la décision, Thèses de Doctorat, Université Paris Dauphine, France.
11. Jacquet-Lagrèze, E., (1995), An application of the UTA discriminant model for the evaluation of R&D projects, In: Pardalos, P.M., Siskos, Y., Zopounidis, C. (Eds.), Advances in Multi-criteria Analysis. Kluwer Academic Publishers, Dordrecht, pp. 203-211.
12. Keller, J.M. Gray, M.R and Givens, J.A. (1985) "A Fuzzy K-Nearest Neighbour Algorithm", IEEE Transactions on systems, Man and Cybernetics, 15(4), pp. 580-585.
13. Léger J. and Martel J-M (2002), A Multi-criteria assignment procedure for a nominal sorting problematic, European Journal of Operational Research, Vol. 138, pp. 349-364.
14. Massaglia, M., Ostanello, A., (1991), N-TOMIC: A decision support for multi-criteria segmentation problems. In: Korhonen, P. (Ed.), International Workshop on Multi-criteria Decision Support, Lecture Notes in Economics and Mathematics Systems, Vol. 356. Springer, Berlin, pp. 167-174.
15. Michalski RS. (1983), A theory and methodology of inductive learning, Artificial Intelligence, Vol. 20, pp. 11-116.
16. Mladenovic N, Hansen P. (2001), Variable neighbourhood search: principles and applications, European Journal of Operational Research, Vol. 130, pp. 449-467.
17. Perny, P. (1998), Multi-criteria filtering methods based on concordance and non-discordance principles, Annals of Operations Research, Vol. 80, pp. 137-165.
18. Roy, B. (1968), Classement et choix en présence de points de vue multiples (la méthode ELECTRE), R.I.R.O. Recherche Opérationnelle, Vol. 2, pp. 57-75.
19. Roy, B. (1974), Critères multiples et modélisation des préférences : l'apport des relations de surclassement, Revue d́conomie Politique, Vol. 1.
20. Roy, B. (1978), ELECTRE III : Algorithme de Classement Basé sur une Représentation des Préférence en Présence de Critères Multiples, Cahiers du CERO, Vol. 21, 1, pp. 3-24.
21. Roy, B., Moscarola, J., 1977. Procédure automatique d'examen de dossiers fondée sur une segmentation trichotomique en présence de critères multiples. RAIRO Recherche Opérationnelle, Vol. 11 (2), pp. 145-173.
22. Siskos, Y., Grigoroudis, E., Zopounidis, C., Saurais, O., (1998), Measuring customer satisfaction using a survey based preference disaggregation model, Journal of Global Optimization Vol. 12 (2), 175-195.
23. Vincke, P. (1989), L'aide multicritère à la décision, Éditions de l'Université de Bruxelles, Belgique.
24. Zopounidis, C., Doumpos, M., (1999), A multi-criteria decision aid methodology for sorting decision problems: The case of financial distress, Computational Economics Vol. 14 (3), 197-218.
25. Zopounidis, C., Doumpos, M., (2000), Building additive utilities for multi-group hierarchical discrimination: The M.H.DIS method, Optimization Methods and Software Vol. 14 (3), pp. 219-240.
26. Zopounidis C., Doumpos M. (2002), Multi-criteria classification and sorting methods: A literature review, European Journal of Operational Research Vol. 138, pp. 229-246.
27. Yu, W., (1992), Aide Multicritère à la Décision Dans le Cadre de la Problématique du Tri: Concepts, Méthodes et Applications, Thèse de doctorat, Université de Paris-Dauphine, France.