Interactive multiobjective optimization from a learning perspective

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

Volumn 5252 LNCS, Issue , 2008, Pages 405-433

  Belton, Valerie ^a   Branke, Jürgen ^b   Eskelinen, Petri ^c   Greco, Salvatore ^d   Molina, Julián ^e   Ruiz, Francisco ^e   Słowiński, Roman ^f,g  

^a UNIVERSITY OF STRATHCLYDE   (United Kingdom)

^b UNIVERSITY OF KARLSRUHE   (Germany)

^c HELSINKI SCHOOL OF ECONOMICS   (Finland)

^d UNIVERSITY OF CATANIA   (Italy)

^e UNIVERSITY OF MÁLAGA   (Spain)

^f POZNAN UNIVERSITY OF TECHNOLOGY   (Poland)

^g SYSTEMS RESEARCH INSTITUTE   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION MAKING; MULTIOBJECTIVE OPTIMIZATION;

DECISION MAKERS; FORMAL MODEL; HUMAN DECISIONS; INDIVIDUAL LEARNING; INTERACTIVE MULTIOBJECTIVE OPTIMIZATION; SYSTEMATIC ANALYSIS; VIRTUAL DECISION MAKERS;

LEARNING SYSTEMS;

EID: 57049180873     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-88908-3_15     Document Type: Conference Paper

References (76)

1. Aksoy, Y., Butler, T.W., Minor, E.D.: Comparative studies in interactive multiple objective mathematical programming. European Journal of Operational Research 89(2), 408-422 (1996)
2. Argyris, C., Schon, D. A.: Organisational Learning: A Theory of Action and Perspective. Addison-Wesley, Reading (1978)
3. Belton, V., Elder, M.D.: Decision support systems: Learning from visual interactive modelling. Decision support systems 12, 355-364 (1994)
4. Belton, V., Stewart, T.J.: Muliple Criteria Decision Analysis: An Integrated Approach. Kluwer, Boston (2002)
5. Belton, V., Vickers, S.P.: V.I.S.A - VIM for MCDA. In: Lockett, G., Islei, G. (eds.) Improving Decision Making in Organizations, pp. 287-304. Springer, Berlin (1989)
6. Benayoun, R., de Montgolfier, J., Tergny, J., Larichev, O.: Linear programming with multiple objective functions: STEP method (STEM). Mathematical Programming 1, 366-375 (1971)
7. Buchanan, J.T., Corner, J.L.: The effects of anchoring in interactive MCDM solution methods. Computers and Operations Research 24(10), 907-918 (1997)
8. Buchanan, J.T., Daellenbach, H.G.: Comparative evaluation of interactive solution methods for multiple objective decision models. European Journal of Operational Research 29, 353-359 (1987)
9. Buchanan, J.T., Gardiner, L.: A comparison of two reference point methods in multiple objective mathematical programming. European Journal of Operational Research 149, 17-34 (2003)
10. Caballero, R., Luque, M., Molina, J., Ruiz, F.: PROMOIN: an interactive system for multiobjective programming. Information Technologies and Decision Making 1, 635-656 (2002)
11. Chankong, V., Haimes, Y.Y.: Multiobjective Decision Making Theory and Methodology. Elsevier Science Publishing Co., New York (1983)
12. Chankong, V., Haimes, Y.Y.: The interactive surrogate worth trade-off (ISWT) method for multiobjective decision-making. In: Zionts, S. (ed.) Multiple Criteria Problem Solving, pp. 42-67. Springer, Berlin (1987)
13. CIA: The 2008 World Factbook. Central Intelligence Agency (2008), https://www. cia.gov/library/publications/the-world-factbook/index.html
14. Dunn, R., Dunn, K., Price, G.E.: Learning Style Inventory. Price Systems, Lawrence, KS (1984)
15. Dyer, J.S.: An empirical investigation of a man-machine interactive approach to the solution of the multiple criteria problem. In: Cochrane, J., Zeleny, M. (eds.) Multiple Criteria Decision Making, pp. 202-216. University of South Carolina Press, Columbia (1973)
16. Dyer, J.S., Fishburn, P.C., Steuer, R.E., Wallenius, J., Zionts, S.: Multiple criteria decision making, multiattribute utility theory: The next 10 years. Management Science 38, 645-654 (1992)
17. Easterby-Smith, M., Thorpe, R., Lowe, A.: Management Research: an Introduction. Sage, London (2002)
18. Eschenauer, H.E., Osyczka, A., Schäfer, E.: Interactive multicriteria optimisation in design process. In: Eschenauer, H., Koski, J., Osyczka, A. (eds.) Multicriteria Design Optimization Procedures and Applications, pp. 71-114. Springer, Berlin (2000)
19. Figueira, J., Greco, S., Słowiński, R.: Building a set of additive value functions representing a reference preorder and intensities of preference: GRIP method. European Journal of Operational Research. doi:10.1016/j.ejor.2008.02.006 (2008)
20. Fishburn, P.C.: Methods of estimating additive utilities. Management Science 13(7), 435-453 (1967)
21. Gardner, H.: Frames of Mind: The Theory of Multiple Intelligences. Basic Books, New York (1993)
22. Geoffrion, A., Dyer, J., Feinberg, A.: An interactive approach for multi-criterion optimization, with an application to the operation of an academic department. Management Science 19(4), 357-368 (1972)
23. Gibson, M., Bernardo, J.J., Cheng, C., Badinelli, R.: A comparison of interactive multiple-objective decision making procedures. Computers and Operations Research 50(1), 97-105 (1987)
24. Greco, S., Matarazzo, B., Słowiński, R.: Rough sets theory for multicriteria decision analysis. European Journal of Operational Research 129(1), 1-47 (2001)
25. Greco, S., Matarazzo, B., Słowiński, R.: Decision rule approach. In: Figueira, J., Greco, S., Ehrgott, M. (eds.) Multiple Criteria Decision Analysis: State of the Art Surveys, pp. 507-563. Springer, Berlin (2005)
26. Greco, S., Mousseau, V., Słowiński, R.: Ordinal regression revisited: Multiple criteria ranking using a set of additive value functions. European Journal of Operational Research 191(2), 415-435 (2008)
27. Hobbs, B.F.: What can we learn from experiments in multiobjective decision analysis? IEEE Transactions on Systems, Man, and Cybernetics 3, 384-394 (1986)
28. Huber, J., Payne, J.W., Puto, C.: Adding asymmetrically dominated alternatives:violations of regularity and the similarity hypothesis. Journal of Consumer Research 9, 90-98 (1982)
29. Jacquet-Lagrèze, E.: Systèmes de décision et acteurs multiples: Contribution à une théorie de l'action pour les sciences des organisations. Thèse d'Etat, Université de Paris-Dauphine, Paris (1981)
30. 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)
31. Jacquet-Lagrèze, E., Meziani, R., Słowiński, R.: MOLP with an interactive assessment of a piecewise-linear utility function. European Journal of Operational Research 31(3), 350-357 (1987)
32. Jaszkiewicz, A., Słowiński, R.: The 'Light Beam Search' approach - an overview of methodology and applications. European Journal of Operational Research 113(2), 300-314 (1999)
33. Kahneman, D., Slovic, P., Tversky, A. (eds.): Judgment under Uncertainty. Cambridge University Press, Cambridge (1982)
34. Keeney, R.: Value Focussed Thinking: A Path to Creative Decision Making. Harvard University Press, Cambridge (1992)
35. Keeney, R.L., Raiffa, H., Hammond, J.S.: The hidden traps in decision making. In: Harvard Business Review Online (2006)
36. Kolb, D.: Experiential Learning: Experience as the Source of Learning. Prentice-Hall, Englewood Cliffs (1984)
37. Kolb, D., Fry, R.: Toward an applied theory of experiential learning. In: Cooper, CL. (ed.) Theories of Group Processes, pp. 27-56. John Wiley, London (1975)
38. Korhonen, P.: VIG - a visual interactive support system for multiple criteria decision making. JORBEL 27(1), 4-15 (1987)
39. Korhonen, P., Wallenius, J.: Behavioural issues in MCDM: Neglected research questions. Journal of Multi-Criteria Decision Analysis 5, 178-182 (1996)
40. Larichev, O.I.: Cognitive validity in design of decision-aiding techniques. Journal of Multi-Criteria Decision Analysis 1, 127-138 (1992)
41. Larichev, O.I., Polyakov, O.A., Nikiforov, A.D.: Multicriterion linear programming problems - analytical survey. Journal of Economic Psychology 8, 389-407 (1987)
42. Lave, J., Wenger, E.: Situated Learning. Legitimate peripheral participation. University of Cambridge Press, Cambridge (1991)
43. March, J.G.: Bounded rationality, ambiguity, and the engineering of choice. The Bell Journal of Economics 9(2), 587-608 (1978)
44. March, J.G.: The technology of foolishness. In: March, J.G. (ed.) Decisions and Organizations, pp. 253-265. Basil Blackwell, New York (1988)
45. Merriam, S.B., Caffarella, R.S.: Learning in Adulthood. A comprehensive guide. Jossey-Bass, San Francisco (1991)
46. Mezirow, J.: Transformative Dimensions of Adult Learning. Jossey-Bass, San Francisco (1991)
47. Michalski, R.S., Bratko, I., Kubat, M.: Machine Learning and Data Mining - Methods and Applications. Wiley, New York (1998)
48. Miettinen, K.: Nonlinear Multiobjective Optimization. Kluwer, Boston (1999)
49. Miettinen, K., Mäkelä, M.M.: Comparative evaluation of some interactive reference point-based methods for multi-objective optimisation. Journal of the Operational Research Society 50, 949-959 (1999)
50. Miettinen, K., Mäkelä, M.M.: Synchronous approach in interactive multiobjective optimization. European Journal of Operational Research 170(3), 900-922 (2006)
51. Miettinen, K., Mäkelä, M.M., Kaario, K.: Experiments with classification-based scalarizing functions in interactive multiobjective optimization. European Journal of Operational Research 29, 931-947 (2006)
52. Montibeller, G.: Action researching multiple criteria decision analysis interventions. In: Shaw, D. (ed.) 49th Operational Research Society Conference Keynote Papers (2007), http://personal.lse.ac.uk/MONTIBEL/0R49- Actionresearching-MCDA.pdf
53. Morecroft, J.D.W., Sterman, J.D.: Modelling for Learning. North Holland, Amsterdam (1992)
54. Morton, A., Fasolo, B.: Behavioural decision theory for multi-criteria decision analysis: a guided tour. In: Journal of the Operational Research Society. To appear (2008), doi:10.1057/palgrave.jors.2602550
55. Mote, J., Olson, D.L., Venkataramanan, M.A.: A comparative multiobjective programming study. Mathematical and Computer Modelling 10(10), 719-729 (1988)
56. Narula, S.C., Kirilov, L., Vassilev, V.: Reference direction approach for solving multiple objective nonlinear programming problems. IEEE Transactions on Systems, Man, and Cybernetics 24, 804-806 (1994)
57. Olson, D.L.: Review of empirical studies in multiobjective mathematical programming: Subject reflection of nonlinear utility and learning. Decision Sciences 23, 1-20 (1992)
58. Papamichail, K.N., French, S.: Explaining and justifying the advice of a decision support system: a natural language generation approach. Expert Systems with Applications 24(1), 35-48 (2003)
59. Reason, P., Bradbury, H.: Handbook of Action Research. Sage, London (2001)
60. Reeves, G.R., Gonzalez, J.J.: A comparison of two interactive MCDM procedures. European Journal of Operational Research 41(2), 203-209 (1989)
61. Robson, C.: Real World Research: a Resource for Social Scientists and Practitioner Researchers, 2nd edn. Blackwell, Oxford (1993)
62. Roy, B.: Decision science or decision-aid science. European Journal of Operational Research 66(2), 184-203 (1993)
63. Russell, S.J., Norvig, P.: Artificial Intelligence: a Modern Approach. Prentice Hall, Upper Saddle River (2003)
64. Shackelford, M.R.N., Corne, D.W.: A technique for evaluation of interactive evolutionary systems. In: Parmee, I.C. (ed.) Proceedings of the 6th International Conference on Adaptive Computing in Design and Manufacture (ACDM 2004), pp. 197-208. Springer, Heidelberg (2004)
65. Słowinński, R., Greco, S., Matarazzo, B.: Rough set based decision support. In: Burke, E.K., Kendall, G. (eds.) Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques, pp. 475-527. Springer, New York (2005)
66. Steuer, R.E.: Multiple Criteria Optimization: Theory, Computation, and Applications. John Wiley & Sons, New York (1985)
67. Steuer, R.E., Choo, E.U.: An interactive weighted tchebycheff procedure for multiple objective programming. Mathematical Programming 26, 326-344 (1983)
68. Tversky, A., Kahneman, D.: Loss aversion in riskless choice: a reference-dependent model. The Quarterly Journal of Economics 106, 1039-1061 (1991)
69. Vanderpooten, D.: The interactive approach in MCDA a conceptual framework and some basic conceptions. Mathematical and Computer Modelling 12, 1213-1220 (1990)
70. Vanderpooten, D., Vincke, P.: Description and analysis of some representative interactive multicriteria procedures. Mathematical and Computer Modelling 12, 1221-1238 (1989)
71. von Winterfeldt, D., Edwards, W.: Decision Analysis and Behavioral Research. Cambridge University Press, Cambridge (1982)
72. Wallenius, J.: Comparative evaluation of some interactive approaches to multicriterion optimization. Management Science 21(2), 1387-1396 (1975)
73. Wierzbicki, A.P.: The use of reference objectives in multiobjective optimization. In: Fandel, G., Gal, T. (eds.) Multiple Criteria Decision Making, Theory and Applications, pp. 468-486. Springer, Berlin (1980)
74. Zanakis, S.H., Solomon, A., Wishart, N., Dublish, S.: Multi-attribute decision making: A simulation comparison of selected methods. European Journal of Operational Research 107(3), 507-529 (1998)
75. Zionts, S., Wallenius, J.: An interactive programming method for solving the multiple criteria problem. Management Science 22, 652-663 (1976)
76. Zionts, S., Wallenius, J.: An interactive multiobjective linear programming method for a class of underlying nonlinear utility functions. Management Science 29, 519-529 (1983)