Towards qualitative approaches to multi-stage decision making

International Journal of Approximate Reasoning

Volumn 19, Issue 3-4, 1998, Pages 441-471

  Sabbadin, Régis ^a   Fargier, Hélène ^a   Lang, Jérôme ^a  

^a IRIT   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; DECISION MAKING; FUNCTIONS; FUZZY SETS; SET THEORY;

MULTI STAGE DECISION MAKING; POSSIBILITY DISTRIBUTION;

DECISION THEORY;

EID: 0032180536     PISSN: 0888613X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0888-613X(98)10019-1     Document Type: Article

References (25)

1. J.F. Baldwin, B.W. Pilsworth, Dynamic programming for fuzzy systems with fuzzy environment, J. Math. Anal. Appl. 85 (1982) 1-23.
2. R.A. Bellman, Dynamic Programming, Princeton University Press, Princeton, 1957.
3. R.E. Bellman, L.A. Zadeh, Decision making in a fuzzy environment, Management Sci. 17 (1970) B141-B164.
4. M.J. Bolaños, M.T. Lamata, S. Moral, Decision making problems in a general environment, Fuzzy Sets and Systems 25 (1988) 135-144.
5. C. Boutilier, Towards a logic for qualitative decision theory, in: Proceedings of the Fourth International Conference on the Principles of Knowledge Representation and Reasoning (KR'94), Morgan Kaufmann, Los Altos, CA, 1994, pp. 75-86.
6. C. Da Costa Pereira, F. Garcia, J. Lang, R. Martin-Clouaire, Planning with graded nondeterministic actions: a possibilistic approach, Int. J. Intelligent Systems 12 (1997) 935-962.
7. C. Da Costa Pereira, F. Garcia, J. Lang, R. Martin-Clouaire, Possibilistic planning: representation and complexity, in: Sam Steel, Rachid Alami (Eds.), Recent Advances in AI Planning, Lecture Notes in Artificial Intelligence, Springer, Berlin, 1997, pp. 143-155.
8. C. Da Costa Pereira, Planification d'actions en environnement incertain: une approche fondée sur la théorie des possibilités, Ph.D., Université Paul Sabatier, Toulouse, France, May 1998 (in French).
9. D. Dubois, F. Dupin de Saint-Cyr, H. Prade, Updating, transition constraints and possibilistic Markov chains, in: B. Bouchon-Meunier, R.R. Yager, L.A. Zadeh (Eds.), Advances in Intelligent Systems - IPMU'94, Lecture Notes in Computer Science, vol. 945, Springer, Berlin, 1994, pp. 263-272.
10. D. Dubois, H. Fargier, J. Lang, H. Prade, R. Sabbadin, Qualitative decision theory and multistage decision making A possibilistic approach, in: Proceedings of the European Workshop on Fuzzy Decision Analysis for Management, Planning and Optimization (EFDAN'96), Dortmund, 1996.
11. D. Dubois, H. Prade, Ranking fuzzy numbers in the setting of possibility theory, Inform. Sci. 30 (1983) 183-224.
12. D. Dubois, H. Prade, Possibility Theory, Plenum Press, New York, 1988.
13. D. Dubois, H. Prade, Possibility theory as a basis for qualitative decision theory, in: Proceedings of the 14th International Joint Conference on Artificial Intelligence (IJCAI'95), Montréal, August 1995, pp. 1924-1930.
14. D. Dubois, H. Prade, Towards possibilistic decision theory, Preprints of the Third Fuzzy Logic in AI Workshop, Montreal, August 1995; also in Tech. Report IRIT, Toulouse, 1995.
15. D. Dubois, H. Prade, C. Testemale, Weighted fuzzy pattern matching, Fuzzy Sets and Systems 28 (1988) 313-331.
16. A.O. Esogbue, J. Kacprzyk, Fuzzy dynamic programming, in: R. Slowinski (Ed.), Fuzzy Sets in Decision Analysis, Operations Research and Statistics, Kluwer Academic Publishers, Dordrecht, 1998, pp. 281-307.
17. H. Fargier, J. Lang, R. Sabbadin, Towards qualitative approaches to multi-stage decision making, in: Proceedings of the Sixth International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU'96), Granada, 1-5 July 1996.
18. J. Kacprzyk, Multi-Stage Decision Making Under Fuzziness, Verlag TÜV Rheinland, 1983.
19. M.L. Puterman, Markov Decision Processes, Wiley, New York, 1994.
20. S.-W. Tan, J. Pearl, Qualitative decision theory, in: Proceedings of the 12th National Conference on Artificial Intelligence (AAAI'94), MIT Press, Cambridge, MA, 1994, pp. 928-933.
21. T. Whalen, Decision making under uncertainty with various assumptions about available information, IEEE Trans. Systems Man Cybernet. 14 (1984) 888-900.
22. R.R. Yager, Possibilistic decision making, IEEE Trans. Systems Man Cybernet. 9 (1979) 388-392.
23. R.R. Yager, An approach to ordinal decision making, Int. J. Approx. Reason. 12 (1995) 237-261.
24. R.R. Yager, M.T. Lamata, Decision making under uncertainty with nonnumeric payoffs, Tech. Report MII-1525, Iona College, New Rochelle, New York, 1995.
25. L.A. Zadeh, A theory of approximate reasoning, in: J.E. Hayes, D. Michie, L.I. Mikulich (Eds.), Machine Intelligence, vol. 9, Elsevier, New York, pp. 149-154.