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DecideIT 3.0: Software for Second-Order Based Decision Evaluations
Stockholm Univ, Dept Comp & Syst Sci, Stockholm, Sweden..ORCID iD: 0000-0001-6502-9670
Int Inst Appl Syst Anal, Laxenburg, Austria..
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology.ORCID iD: 0000-0003-0310-0018
2019 (English)In: PROCEEDINGS OF THE ELEVENTH INTERNATIONAL SYMPOSIUM ON IMPRECISE PROBABILITIES: THEORIES AND APPLICATIONS (ISIPTA 2019) / [ed] DeBock, J DeCampos, CP DeCooman, G Quaeghebeur, E Wheeler, G, JMLR-JOURNAL MACHINE LEARNING RESEARCH , 2019, Vol. 103, p. 121-124Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we discuss representation and evaluation in the DecideIT 3.0 decision tool which is based on a belief mass interpretation of the background information. The decision components are imprecise in terms of intervals and qualitative estimates and we emphasise how multiplicative and additive aggregations influence the resulting belief distribution over the expected values.

Place, publisher, year, edition, pages
JMLR-JOURNAL MACHINE LEARNING RESEARCH , 2019. Vol. 103, p. 121-124
Series
Proceedings of Machine Learning Research, ISSN 2640-3498
Keywords [en]
Belief distribution, decision analysis, bounded Dirichlet, skew-normal distribution
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:miun:diva-46712ISI: 000855074100014OAI: oai:DiVA.org:miun-46712DiVA, id: diva2:1721717
Conference
11th International Symposium on Imprecise Probabilities - Theories and Applications (ISIPTA), JUL 03-06, 2019, Ghent, BELGIUM
Available from: 2022-12-22 Created: 2022-12-22 Last updated: 2022-12-22Bibliographically approved

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Larsson, Aron

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