Larsson, A.; Kuznetsova, Alina; Caster, O.; Ekenberg, L.: Implementing second-order decision analysis: Concepts, algorithms, and tool. In: Advances in Decision Sciences 2014 (2014), 519512. DOI: http://dx.doi.org/10.1155/2014/519512
Zusammenfassung: | |
We present implemented concepts and algorithms for a simulation approach to decision evaluation with second-order belief distributions in a common framework for interval decision analysis. The rationale behind this work is that decision analysis with interval-valued probabilities and utilities may lead to overlapping expected utility intervals yielding difficulties in discriminating between alternatives. By allowing for second-order belief distributions over interval-valued utility and probability statements these difficulties may not only be remedied but will also allow for decision evaluation concepts and techniques providing additional insight into a decision problem. The approach is based upon sets of linear constraints together with generation of random probability distributions and utility values from implicitly stated uniform second-order belief distributions over the polytopes given from the constraints. The result is an interactive method for decision evaluation with second-order belief distributions, complementing earlier methods for decision evaluation with interval-valued probabilities and utilities. The method has been implemented for trial use in a user oriented decision analysis software. | |
Lizenzbestimmungen: | CC BY 3.0 Unported |
Publikationstyp: | Article |
Publikationsstatus: | publishedVersion |
Erstveröffentlichung: | 2014 |
Die Publikation erscheint in Sammlung(en): | Fakultät für Elektrotechnik und Informatik |
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