eprintid: 14220
rev_number: 11
eprint_status: archive
userid: 353
dir: disk0/00/01/42/20
datestamp: 2017-01-05 12:38:02
lastmod: 2021-08-27 17:28:21
status_changed: 2017-01-05 12:38:02
type: book_section
metadata_visibility: show
item_issues_count: 1
creators_name: Danielson, M.
creators_name: Ekenberg, L.
creators_id: 7576
creators_orcid: 0000-0002-0665-1889
title: Architectural Considerations for Decision Analysis Software
ispublished: pub
divisions: prog_risk
divisions: prog_rpv
keywords: Decision analysis, software performance
abstract: In classic decision theory, it is assumed that a decision-maker can assign precise numerical values corresponding to the true value of each consequence, as well as precise numerical probabilities for their occurrences. However, in real-life situations, the ordering of alternatives from most to least preferred is often a delicate matter and an adequate mathematical representation is crucial. In attempting to address real-life problems, where uncertainty about data prevails, some kind of representation of imprecise information is important and several have been proposed. However, general methods have turned out to be insufficient and we demonstrate in this article that there is not one set of coding techniques that result in the best performing software for decision analysis.
date: 2016-08
date_type: published
publisher: IOS Press
id_number: 10.3233/978-1-61499-674-3-3
creators_browse_id: 79
full_text_status: none
series: Proceedings of the Fifteenth SoMeT_16
pagerange: 3-14
refereed: TRUE
isbn: 978-1-61499-673-6
book_title: New Trends in Software Methodologies, Tools and Techniques
editors_name: Fujita, H.
editors_name: Papadopoulos, G.A.
coversheets_dirty: FALSE
fp7_project: no
fp7_type: info:eu-repo/semantics/bookPart
citation:   Danielson, M. & Ekenberg, L. <https://pure.iiasa.ac.at/view/iiasa/79.html> ORCID: https://orcid.org/0000-0002-0665-1889 <https://orcid.org/0000-0002-0665-1889>  (2016).  Architectural Considerations for Decision Analysis Software.    In:  New Trends in Software Methodologies, Tools and Techniques. Eds. Fujita, H. & Papadopoulos, G.A., pp. 3-14 IOS Press.  ISBN 978-1-61499-673-6 10.3233/978-1-61499-674-3-3 <https://doi.org/10.3233/978-1-61499-674-3-3>.