haku: @author Wallenius, J. / yhteensä: 14
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| Tekijä: | Moskowitz, H. Wallenius, J. |
| Otsikko: | Preference-Order Recursion for Finding Relevant Pure, Admissible and Optimal Statistical Decision Functions |
| Lehti: | Decision Sciences
1990 : Summer, VOL. 21:3, p. 521-532 |
| Asiasana: | DECISION ANALYSIS RISK UNCERTAINTY DECISION THEORY |
| Kieli: | eng |
| Tiivistelmä: | A preference-order recursion algorithm for obtaining a relevant subset of pure, admissible decision functions converging towards an optimal solution is proposed. The procedure allows interaction between the decision maker and the problem. Computational and measurement burdens are alleviated. The method is applicable to linear as well as nonlinear utility functions, it is viable, robust and efficient. |
SCIMA