An efficient normal form solution to decision trees with lower previsions

Advances in Soft Computing

Volumn 48, Issue , 2008, Pages 419-426

  Huntley, Nathan ^a   Troffaes, Matthias C ^a  

^a DURHAM UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 58149129837     PISSN: 16153871     EISSN: 18600794     Source Type: Book Series    
DOI: 10.1007/978-3-540-85027-4_50     Document Type: Article

References (9)

1. Boole, G.: An Investigation of the Laws of Thought on Which Are Founded the Mathematical Theories of Logic and Probabilities. Walton and Maberly, London (1854)
2. Clemen, R.T., Reilly, T.: Making Hard Decisions. Duxbury Press, Belmont (2001)
3. Jaffray, J.: Rational decision making with imprecise probabilities. In: Proceedings of 1st International Symposium on Imprecise Probabilities and Their Applications, pp. 183-188 (1999)
4. Kikuti, D., Cozman, F., de Campos, C.P.: Partially ordered preferences in decision trees: Computing strategies with imprecision in probabilities. In: Proceedings of Multidisciplinary Workshop on Advances in Preference Handling (IJCAI-05, Edinburgh, UK), pp. 118-123 (2005)
5. Lindley, D.V.: Making Decisions, 2nd edn. Wiley, London (1985)
6. Raiffa, H., Schlaifer, R.: Applied Statistical Decision Theory. Division of Research, Graduate School of Business Administration. Harvard University, Boston (1961)
7. Seidenfeld, T.: A contrast between two decision rules for use with (convex) sets of probabilities: A-maximin versus E-admissibility. Synthese 140, 69-88 (2004)
8. Von Neumann, J., Morgenstern, O.: Theory of Games and Economic Behavior. Princeton University Press, Princeton (1953)
9. Walley, P.: Statistical Reasoning with Imprecise Probabilities. Chapman and Hall, London (1991)