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A second-order-based decision tool for evaluating decisions under conditions of severe uncertainty
Stockholm University, Kista; International Institute for Applied Systems Analysis, Laxenburg, Austria.
International Institute for Applied Systems Analysis, Laxenburg, Austria; Stockholm University, Kista.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology. Stockholm University, Kista.ORCID iD: 0000-0003-0310-0018
2020 (English)In: Knowledge-Based Systems, ISSN 0950-7051, E-ISSN 1872-7409, Vol. 191, article id 105219Article in journal (Refereed) Published
Abstract [en]

The requirement to assign precise numerical values to model entities such as criteria weights, probabilities, and utilities is too strong in most real-life decision situations, and hence alternative representations and evaluation mechanisms are important to consider. In this paper, we discuss the DecideIT 3.0 state-of-the-art software decision tool and demonstrate its functionality using a real-life case. The tool is based on a belief mass interpretation of the decision information, where the components are imprecise by means of intervals and qualitative estimates, and we discuss how multiplicative and additive aggregations influence the resulting distribution over the expected values. 

Place, publisher, year, edition, pages
2020. Vol. 191, article id 105219
Keywords [en]
Decision analysis, Decision software, Imprecise criteria weights, Imprecise probabilities
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:miun:diva-38203DOI: 10.1016/j.knosys.2019.105219ISI: 000517663200003Scopus ID: 2-s2.0-85075451496OAI: oai:DiVA.org:miun-38203DiVA, id: diva2:1384531
Available from: 2020-01-10 Created: 2020-01-10 Last updated: 2020-03-19Bibliographically approved

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Larsson, Aron

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