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Weighting Under Ambiguous Preferences and Imprecise Differences in a Cardinal Rank Ordering Process
Dept. of Computer and Systems Sciences, Stockholm University. (DECIDE)
Dept. of Computer and Systems Sciences, Stockholm University. (DECIDE)
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Avdelningen för informations- och kommunikationssystem.ORCID-id: 0000-0003-0310-0018
Dept. of Computer and Systems Sciences, Stockholm University.
2013 (engelsk)Inngår i: International Journal of Computational Intelligence Systems, ISSN 1875-6883, Vol. 7, nr 1, s. 105-112Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The limited amount of good tools for supporting elicitation of preference information in multi-criteria decision analysis (MCDA) causes practical problem. In our experiences, this can be remedied by allowing more relaxed input statements from decision-makers, causing the elicitation process to be less cognitively demanding. Furthermore, it should not be too time consuming and must be able to actually use of the information the decision-maker is able to supply. In this paper, we propose a useful weight elicitation method for MAVT/MAUT decision making, which builds on the ideas of rank-order methods, but increases the precision by adding numerically imprecise cardinal information as well.

sted, utgiver, år, opplag, sider
Taylor & Francis Group, 2013. Vol. 7, nr 1, s. 105-112
Emneord [en]
Multi-criteria decision analysis, imprecision, criteria weights, elicitation
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Identifikatorer
URN: urn:nbn:se:miun:diva-20169DOI: 10.1080/18756891.2014.853954OAI: oai:DiVA.org:miun-20169DiVA, id: diva2:662553
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ICT - The Next GenerationTilgjengelig fra: 2013-11-07 Laget: 2013-11-07 Sist oppdatert: 2013-11-13bibliografisk kontrollert

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Larsson, Aron

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