Abstract
This paper focusses on the central role of modelling in decision aiding. All stages of the modelling process require choices which cannot be totally rationalized. We believe, however, that adopting a certain perspective (accepting ambiguity, favoring flexibility,...) in relation to some specificities of the decision context may prove helpful to guide the modelling process and to motivate some technical choices.
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References
Azibi, R. and Vanderpooten, D. (2001). Elaboration de critères agrégeant des conséquences dispersées: deux exemples concrets. In Colorni, A., Paruccini, M., and Roy, B., editors, AMCDA — Aide MultiCritre la Dcision Multi Criteria Decision Aid, pages 13–30. EUR Report 19808.
Bana e Costa, C. (1996). Les problmatiques de l’aide la dcision: vers l’enrichissement de la trilogie choix-tri-rangement. RAIRO — RO, 30(2):191–216.
Bell, D., Raiffa, H., and Tversky, A. (1988). Descriptive, normative and prescriptive interactions in decision making. In Bell, D., Raiffa, H., and Tversky, A., editors, Decision making: descriptive, normative and prescriptive interactions, pages 9–30. Cambridge University Press.
Bonczek, R., Holsapple, C, and Whinston, A. (1981). Foundations of Decision Support Systems. Academic Press, Orlando.
Bouyssou, D. (1989). Modelling inaccurate determination, uncertainty, imprecision using multiple criteria. In Lockett, A. and Islei, G., editors, Improving Decision Making in Organisations, LNEMS 335, pages 78–87. Springer-Verlag, Berlin.
Bouyssou, D. (1990). Building criteria: A prerequisite for MCDA. In Bana e Costa, C., editor, Readings in Multiple Criteria Decision Aid, pages 58–80. Springer-Verlag, Berlin.
Bouyssou, D., Perny, P., Pirlot, M., Tsoukiás, A., and Vincke, P. (1993). A Manifesto for the new MCDA era. Journal of Multi Criteria Decision Analysis, 2:125–127.
Bouyssou, D. and Roy, B. (1987). La notion de seuils de discrimination en analyse multicritère. INFOR, 25:302–313.
Chalmers, A. (1982). What is this thing called Science? An assessment of the nature and status of science and its method. University of Queensland Press, St Lucia. traduction française, Editions La Découverte, Paris, 1987.
D’Avignon, G. (1992). Démarche d’aide la préparation d’un plan directeur: Le cas des palais de justice. Documents du LAMSADE no. 73, Université Paris-Dauphine, France.
Dubois, D. and Prade, H. (1985). Théorie des possibilités — Applications à la représentation des connaissances en informatique. Masson, Paris.
Fischer, M. (1985). Interactive optimization. Annals of Operations Research, 5:541–556.
Fishburn, P. (1970). Utility theory for decision making. Wiley, New-York.
Fodor, J. and Roubens, M., editors (1994). Fuzzy preference modelling and multicriteria decision support. Kluwer, Dordrecht.
Gardiner, L. and Vanderpooten, D. (1997). Interactive multiple criteria procedures: Some reflections. In Climaco, J., editor, Multicriteria Analysis, pages 290–301. Proc. of the XIth International Conference on MCDM, Coimbra, Portugal, Springer Verlag, Berlin.
Grassin, N. (1986). Constructing population criteria for the comparison of different options for a high voltage line route. European Journal of Operational Research, 26:42–57.
Greco, S., Matarazzo, B., and Słowiński, R. (1999). The use of rough sets and fuzzy sets in MCDM. In Advances in MCDM models, Algorithms, Theory, and Applications, pages 14.1–14.59. Kluwer Academic Publishers, Boston.
Grzymala-Busse, J. (1991). Managing uncertainty in expert systems. Kluwer Academic Publishers, Boston.
Jacquet-Lagrèze, E. (1973). Le problème de l’agrégation des préférences: une classe de procédures à seuils. Mathmatiques et Sciences Humaines, 43:29–37.
Keeney, R. (1988). Structuring objectives for problems of public interest. Operations Research, 36:396–405.
Keeney, R. (1992). Value-focused thinking: a path to creative decision making. Harvard University Press.
Keeney, R. and Raiffa, H. (1976). Decisions with multiple objectives — preferences and value trade-offs. Wiley and Sons.
Kouvelis, P. and Yu, G. (1997). Robust discrete optimization and its applications. Kluwer.
Kruse, R., Schwecke, E., and Heinsohn, J., editors (1991). Uncertainty and vagueness in knowledge based systems. Springer-Ver lag, Berlin.
Landry, M., Banville, C., and Oral, M. (1996). Model legitimisation in operational research. European Journal of Operational Research, 92(3):443–457.
Lévine, P. and Pomerol, J. (1989). Systèmes interactifs d’aide à la décision et systèmes experts. Hermès, Paris.
Martel, J.-M., Guitouni, A., Abi-Zeid, I., Blanger, M., Chraygane, Z., and Zaras, K. (1998). Construction d’une famille de critres dans le cadre du projet CESA. Documents du LAMSADE no. 106, Université Paris-Dauphine, France.
Norese, M. and Ostanello, A. (1989). Identification and development of alternatives: introduction to the recognition of process typologies. In Lockett, A. and Islei, G., editors, Improving Decision Making in Organisations, LNEMS 335, pages 112–123. Springer-Verlag, Berlin.
Pawlak, Z. (1982). Rough sets. Int. J. Computer and Information Sci., 11:341–356.
Perny, P. and Roy, B. (1992). The use of fuzzy outranking relations in preference modelling. Fuzzy Sets and Systems, 49:33–53.
Perny, P. and Vanderpooten, D. (1998). An interactive multiobjective procedure for selecting medium-term countermeasures after nuclear accidents. Journal of Multi Criteria Decision Analysis, 7(1):48–60.
Pollack, M. (1976). Interactive models in Operations Research — an introduction and some future research directions. Computers and Operations Research, 3(4):305–312.
Roy, B. (1976). From optimization to multicriteria decision aid: Three main operational attitudes. In Thiriez, H. and Zionts, S., editors, Multiple Criteria Decision Making, Proceedings Jouy-en-Josas France 1975, pages 1–32. LNEMS 130, Springer-Verlag, Berlin.
Roy, B. (1981). The optimisation problem formulation: criticism and overstepping. Journal of the Operational Research Society, 32(6):427–436.
Roy, B. (1985). Méthodologie Multicritère d’Aide à la Décision: Méthodes et Cas. Economica, Paris. english translation: Multicriteria Methodology for Decision Aiding, Kluwer Academic Publishers, 1996.
Roy, B. (1987). Meaning and validity of interactive procedures as tools for decision making. European Journal of Operational Research, 31 (3):297–303.
Roy, B. (1989). Main sources of inaccurate determination, uncertainty and imprecision. Mathematical and Computer Modelling, 12(10/11):1245–1254.
Roy, B. (1993). Decision science or decision-aid science? European Journal of Operational Research, 66(2):184–203.
Roy, B. (1998). A missing link in OR-DA: Robustness analysis. Foundations of Computing and Decision Sciences, 23(3):141–160.
Roy, B. (1999). Decision-aiding today: what should we expect? In Gal, T., S. T. and Hanne, T., editors, Multicriteria Decision Making, Advances in MCDM models, Algorithms, Theory and Applications, pages 1.1–1.35. Kluwer Academic Publishers, Boston.
Roy, B. and Bouyssou, D. (1993). Aide Multicritère à la Décision: Méthodes et Cas. Economica, Paris.
Roy, B. and Mousseau, V. (1996). A theoretical framework for analysing the notion of relative importance of criteria. Journal of Multi Criteria Decision Analysis, 5(2):145–159.
Roy, B. and Słowiński, R. (1993). Criterion of distance between technical programming and socio-economic priority. RAIRO — RO, 27:45–60.
Roy, B. and Vanderpooten, D. (1996). The European school of MCDA: Emergence, basic features and current works. Journal of Multi Criteria Decision Analysis, 5(1):22–37.
Sims, R. (1997). Interactivity: a forgotten art? Computers in Human Behavior, 13(2):157–180.
Słowiński, R. and Teghem, J., editors (1990). Stochastic versus Fuzzy approaches to Multiobjective Mathematical Programming under uncertainty. Kluwer, Dordrecht.
Sprague Jr, R. and Carlson, E. (1982). Building effective Decision Support Systems. Academic Press, Orlando.
Tsoukiás, A. (1996). A first-order, four valued, weakly paraconsistent logic. Cahier du LAMSADE no. 139, Université de Paris Dauphine, France.
Tsoukiàs, A. and Vincke, P. (1995). A new axiomatic foundation of partial comparability. Theory and Decision, 39:79–114.
Vanderpooten, D. (1992). Three basic conceptions underlying multiple criteria interactive procedures. In Goicoechea, A., Duckstein, L., and Zionts, S., editors, Multiple Criteria Decision Making, pages 441–448. Proc. of the IXth International Conference on MCDM, Fairfax, USA, Springer-Verlag, Berlin.
Vansnick, J. (1986). On the problem of weights in multiple criteria decision making (the noncompensatory approach). European Journal of Operational Research, 24:288–294.
Vincke, P. (1989). L’aide multicritère à la décision. Ellipses, Paris. English translation: Multicriteria decision-aid, Wiley, 1992.
Vincke, P. (1999). Robust and neutral methods for aggregating preferences into an outranking relation. European Journal of Operational Research, 112(2):405–412.
Zeleny, M. (1982). Multiple Criteria Decision Making. McGraw Hill.
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Vanderpooten, D. (2002). Modelling in Decision Aiding. In: Bouyssou, D., Jacquet-Lagrèze, E., Perny, P., Słowiński, R., Vanderpooten, D., Vincke, P. (eds) Aiding Decisions with Multiple Criteria. International Series in Operations Research & Management Science, vol 44. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0843-4_9
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DOI: https://doi.org/10.1007/978-1-4615-0843-4_9
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