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A second-order-based decision tool for evaluating decisions under conditions of severe uncertainty
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. International Institute for Applied Systems Analysis, Austria.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. International Institute for Applied Systems Analysis, Austria.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. Mid Sweden University, Sweden.
2019 (English)In: Knowledge-Based Systems, ISSN 0950-7051, E-ISSN 1872-7409Article in journal (Refereed) In press
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 theĀ 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
2019.
Keywords [en]
Decision analysis, Decision software, Imprecise criteria weights, Imprecise probabilities
National Category
Other Computer and Information Science
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-177130DOI: 10.1016/j.knosys.2019.105219OAI: oai:DiVA.org:su-177130DiVA, id: diva2:1379849
Available from: 2019-12-17 Created: 2019-12-17 Last updated: 2020-01-20

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