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Value Differences using Second Order Distributions
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.ORCID iD: 0000-0002-0665-1889
Mid Sweden University, Faculty of Science, Technology and Media, Department of Engineering, Physics and Mathematics.
Responsible organisation
2005 (English)In: International Journal of Approximate Reasoning, ISSN 0888-613X, Vol. 38, no 1, 81-97 p.Article in journal (Refereed) Published
Abstract [en]

Most decision models for handling vague and imprecise information are unnecessarily restrictive since they do not admit for discrimination between different beliefs in different values. This is true for classical utility theory as well as for the various interval methods that have prevailed. To allow for more refined estimates, we suggest a framework designed for evaluating decision situations considering beliefs in sets of epistemically possible utility and probability functions, as well as relations between them. The various beliefs are expressed using different kinds of belief distributions. We show that the use of such distributions allows for representation principles not requiring too hard data aggregation, but still admitting efficient evaluation of decision situations.

Place, publisher, year, edition, pages
2005. Vol. 38, no 1, 81-97 p.
Keyword [en]
DECISION-MAKING; UNRELIABLE PROBABILITIES; FUZZY; RATIONALITY; RISK
National Category
Computer Science
Identifiers
URN: urn:nbn:se:miun:diva-3397DOI: 10.1016/j.ijar.2004.04.002ISI: 000226539300004Scopus ID: 2-s2.0-8344255756Local ID: 3467OAI: oai:DiVA.org:miun-3397DiVA: diva2:28429
Available from: 2008-09-30 Created: 2009-09-22 Last updated: 2017-08-11Bibliographically approved

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Ekenberg, LoveThorbiornson, Johan
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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
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  • vancouver
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  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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  • asciidoc
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