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Architectural Considerations for Decision Analysis Software
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2016 (English)In: New Trends in Software Methodologies, Tools and Techniques / [ed] Hamido Fujita, George Angelos Papadopoulos, IOS Press, 2016, 3-14 p.Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
IOS Press, 2016. 3-14 p.
Series
Frontiers in Artificial Intelligence and Applications, ISSN 0922-6389 ; 286
National Category
Information Systems
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-137470DOI: 10.3233/978-1-61499-674-3-3ISBN: 978-1-61499-673-6 (print)ISBN: 978-1-61499-674-3 (print)OAI: oai:DiVA.org:su-137470DiVA: diva2:1062745
Conference
15th International Conference on New Trends in Intelligent Software Methodology Tools and Techniques (SoMeT 16), Larnaca, Cyprus, September 12-14, 2016
Available from: 2017-01-08 Created: 2017-01-08 Last updated: 2017-01-12Bibliographically approved

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