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Second Order Effects in Interval Valued Decision Graph Models
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Institutionen för informationsteknologi och medier.ORCID-id: 0000-0002-0665-1889
Dept. of Informatics, ESI, Örebro University, Örebro.
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Institutionen för informationsteknologi och medier. (STC)ORCID-id: 0000-0003-0310-0018
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2005 (engelsk)Inngår i: Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2005 - Recent Advances in Artifical Intelligence, AAAI Press, 2005, s. 728-733Konferansepaper, Publicerat paper (Annet vitenskapelig)
Abstract [en]

Second-order calculations may significantly increase a decision maker's understanding of a decision situation when handling aggregations of imprecise representations, as is the case in decision trees or influence diagrams, while the use of only first-order results gives an incomplete picture. The results apply also to approaches which do not explicitly deal with second-order distributions, instead using only first-order concepts such as upper and lower bounds.

sted, utgiver, år, opplag, sider
AAAI Press, 2005. s. 728-733
Emneord [en]
Decision graph models, second-order probabilities
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Identifikatorer
URN: urn:nbn:se:miun:diva-3339Scopus ID: 2-s2.0-32844466774Lokal ID: 3469ISBN: 1577352343 (tryckt)OAI: oai:DiVA.org:miun-3339DiVA, id: diva2:28371
Konferanse
Recent Advances in Artifical Intelligence - Eighteenth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2005; Clearwater Beach, FL; United States; 15 May 2005 through 17 May 2005; Code 66624
Tilgjengelig fra: 2008-09-30 Laget: 2008-09-30 Sist oppdatert: 2018-01-12bibliografisk kontrollert

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