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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/88844 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/88844 http://eprints.org/relation/isIndexCodesVersionOf https://pure.iiasa.ac.at/id/document/88844 archive 353 disk0/00/01/61/70 2019-11-18 08:59:29 2021-08-27 17:32:22 2019-11-18 08:59:29 article show Danielson M. Ekenberg L. 7576 0000-0002-0665-1889 Larsson A. pub prog_risk Decision analysis; Decision software; Imprecise criteria weights; Imprecise probabilities 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. 2020-03 published Elsevier 10.1016/j.knosys.2019.105219 79 public Knowledge-Based System 191 e105219 TRUE 0950-7051 FALSE no info:eu-repo/semantics/article