Interactive multiobjective optimization using a set of additive value functions

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5252 LNCS, Issue , 2008, Pages 97-119

  Figueira, José Rui ^a   Greco, Salvatore ^b   Mousseau, Vincent ^c   Słowiński, Roman ^d,e  

^a INSTITUTO SUPERIOR TÉCNICO   (Portugal)

^b UNIVERSITY OF CATANIA   (Italy)

^c UNIVERSITÉ PARIS DAUPHINE   (France)

^d POZNAN UNIVERSITY OF TECHNOLOGY   (Poland)

^e SYSTEMS RESEARCH INSTITUTE   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

ADDITIVES; DECISION MAKING; PARETO PRINCIPLE; REGRESSION ANALYSIS;

ADDITIVE VALUE FUNCTIONS; INTENSITY OF PREFERENCE; INTERACTIVE MULTIOBJECTIVE OPTIMIZATION; PAIR-WISE COMPARISON; PARETO OPTIMAL SOLUTIONS; PREFERENCE INFORMATION; REPRESENTATIVE SAMPLE; SATISFACTORY SOLUTIONS;

MULTIOBJECTIVE OPTIMIZATION;

EID: 57049179678     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-88908-3_4     Document Type: Conference Paper

References (23)

1. Bana e Costa, C.A., Vansnick, J.C.: MACBETH: An interactive path towards the construction of cardinal value functions. International Transactions in Operational Research 1(4), 387-500 (1994)
2. Bana e Costa, C.A., De Corte, J.M., Vansnick, J.C.: On the mathematical foundation of MACBETH. In: Figueira, J., Greco, S., Ehrgott, M. (eds.) Multiple Criteria Decision Analysis: State of the Art Surveys, pp. 409-443. Springer Science + Business Media Inc., New York (2005)
3. Chakhar, S., Mousseau, V.: GNU-UTA: a GNU implementation of UTA methods (2007), http ://www.lamsade.dauphine.fr/~mousseau/GNU-UTA
4. Consortium, D.D.: Decision deck: an open-source software platform for mcda methods (2006-2008), www.decision-deck.org
5. Figueira, J., Greco, S., Slowiński, R.: Building a set of additive value functions representing a reference preorder and intensities of preference: GRIP method. European Journal of Operational Research, to appear
6. Greco, S., Matarazzo, B., Slowiński, R.: The use of rough sets and fuzzy sets in MCDM. In: Gal, T., Hanne, T., Stewart, T. (eds.) Multicriteria Decision Making: Advances in MCDM Models, Algorithms, Theory and Applications, pp. 1-14. Kluwer Academic Publishers, Dordrecht (1999)
7. Greco, S., Matarazzo, B., Slowinski, R.: Rough sets theory for multicriteria decision analysis. European Journal of Operational Research 129, 1-47 (2001)
8. Greco, S., Mousseau, V., Slowinski, R.: Assessing a partial preorder of alternatives using ordinal regression and additive utility functions: A new UTA method. In: 58th Meeting of the EURO Working Group on MCDA, Moscow (2003)
9. Greco, S., Matarazzo, B., Slowiński R.: Decision rule approach. In: Figueira, J., Greco, S., Ehrgott, M. (eds.) Multiple Criteria Decision Analysis: State of the Art Surveys, pp. 507-562. Springer Science + Business Media Inc., New York (2005)
10. Greco, S., Mousseau, V., Slowiński, R.: Ordinal regression revisited: Multiple criteria ranking with a set of additive value functions. European Journal of Operational Research 191(2), 416-436 (2008)
11. Jacquet-Lagrèze, E., Siskos, Y.: Assessing a set of additive utility functions for multicriteria decision making: The UTA method. European Journal of Operational Research 10(2), 151-164 (1982)
12. Jacquet-Lagrèze, E., Meziani, R., Slowiński, R.: MOLP with an interactive assessment of a piecewise linear utility function. European Journal of Operational Research 31, 350-357 (1987)
13. Kiss, L., Martel, J., Nadeau, R.: ELECCALC - an interactive software for modelling the decision maker's preferences. Decision Support Systems 12(4-5), 757-777 (1994)
14. March, J.: Bounded rationality, ambiguity and the engineering of choice. Bell Journal of Economics 9, 587-608 (1978)
15. Marichal, J., Roubens, M.: Determination of weights of interacting criteria from a reference set. European Journal of Operational Research 124(3), 641-650 (2000)
16. Mousseau, V., Slowinski, R.: Inferring an ELECTRE TRI model from assignment examples. Journal of Global Optimization 12(2), 157-174 (1998)
17. Pekelman, D., Sen, S.: Mathematical programming models for the determination of attribute weights. Management Science 20(8), 1217-1229 (1974)
18. Roy, B., Bouyssou, D.: Aide Multicritère à la Décision: Méthodes et Cas. Economica, Paris (1993)
19. Saaty, T.: The Analytic Hierarchy Process. McGraw Hill, New York (1980)
20. Saaty, T.: The analytic hierarchy and analytic network processes for the measurement of intangible criteria and for decision-making. In: Figueira, J., Greco, S., Ehrgott, M. (eds.) Multiple Criteria Decision Analysis: The State of the Art Surveys, pp. 345-407. Springer Science+Business Media, Inc., New York (2005)
21. Siskos, Y., Grigoroudis, V., Matsatsinis, N.: UTA methods. In: Figueira, F., Greco, S., Ehrgott, M. (eds.) Multiple Criteria Decision Analysis: State of the Art Surveys, pp. 297-343. Springer Science + Business Media Inc., New York (2005)
22. Slowiòski, R., Greco, S., Matarazzo, B.: Rough set based decision support. In: Burke, E., Kendall, G. (eds.) Introductory Tutorials on Optimization, Search and Decision Support Methodologies, pp. 475-527. Springer Science + Business Media Inc., New York (2005)
23. Srinivasan, V., Shocker, A.: Estimating the weights for multiple attributes in a composite criterion using pairwise judgments. Psychometrika 38(4), 473-493 (1973)