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Value Differences u...
Value Differences using Second Order Distributions
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- Ekenberg, Love (författare)
- Mittuniversitetet,Stockholms universitet,Institutionen för data- och systemvetenskap,Department of Information Technology, Mid Sweden University,Sundsvall, Sweden,Institutionen för informationsteknologi och medier (-2013)
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- Thorbiornson, Johan (författare)
- Mittuniversitetet,Institutionen för teknik, fysik och matematik (-2008)
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Baidya, T. (författare)
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(creator_code:org_t)
- Elsevier, 2005
- 2005
- Engelska.
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Ingår i: International Journal of Approximate Reasoning. - : Elsevier. - 0888-613X .- 1873-4731. ; 38:1, s. 81-97
- Relaterad länk:
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https://doi.org/10.1...
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https://urn.kb.se/re...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- Decision analysis
- Decision theory
- Utility theory
- Uncertain reasoning
- Imprecise probabilities
- Computer science
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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