dc.identifier.uri |
http://dx.doi.org/10.15488/604 |
|
dc.identifier.uri |
http://www.repo.uni-hannover.de/handle/123456789/628 |
|
dc.contributor.author |
Larsson, Aron
|
|
dc.contributor.author |
Kuznetsova, Alina
|
|
dc.contributor.author |
Caster, Ola
|
|
dc.contributor.author |
Ekenberg, Love
|
|
dc.date.accessioned |
2016-10-31T13:38:59Z |
|
dc.date.available |
2016-10-31T13:38:59Z |
|
dc.date.issued |
2014 |
|
dc.identifier.citation |
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 |
|
dc.description.abstract |
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. |
eng |
dc.language.iso |
eng |
|
dc.publisher |
New York, NY : Hindawi Publishing Corporation |
|
dc.relation.ispartofseries |
Advances in Decision Sciences 2014 (2014) |
|
dc.rights |
CC BY 3.0 Unported |
|
dc.rights.uri |
https://creativecommons.org/licenses/by/3.0/ |
|
dc.subject |
systems sciences |
eng |
dc.subject |
communications system |
eng |
dc.subject |
WINPRE |
eng |
dc.subject |
PRIME method |
eng |
dc.subject.ddc |
600 | Technik
|
ger |
dc.subject.ddc |
510 | Mathematik
|
ger |
dc.title |
Implementing second-order decision analysis: Concepts, algorithms, and tool |
|
dc.type |
Article |
|
dc.type |
Text |
|
dc.relation.issn |
2090-3359 |
|
dc.relation.doi |
http://dx.doi.org/10.1155/2014/519512 |
|
dc.bibliographicCitation.volume |
2014 |
|
dc.bibliographicCitation.firstPage |
519512 |
|
dc.description.version |
publishedVersion |
|
tib.accessRights |
frei zug�nglich |
|