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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)
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems.ORCID iD: 0000-0003-0310-0018
Dept. of Computer and Systems Sciences, Stockholm University.
2013 (English)In: International Journal of Computational Intelligence Systems, ISSN 1875-6883, Vol. 7, no 1, p. 105-112Article in journal (Refereed) 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.

Place, publisher, year, edition, pages
Taylor & Francis Group, 2013. Vol. 7, no 1, p. 105-112
Keywords [en]
Multi-criteria decision analysis, imprecision, criteria weights, elicitation
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:miun:diva-20169DOI: 10.1080/18756891.2014.853954OAI: oai:DiVA.org:miun-20169DiVA, id: diva2:662553
Funder
ICT - The Next GenerationAvailable from: 2013-11-07 Created: 2013-11-07 Last updated: 2013-11-13Bibliographically approved

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Publisher's full texthttp://www.tandfonline.com/doi/abs/10.1080/18756891.2014.853954#.UnuQ5_lnE19

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Larsson, Aron

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  • apa
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