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Weighting Under Ambiguous Preferences and Imprecise Differences in a Cardinal Rank Ordering Process
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2014 (English)In: International Journal of Computational Intelligence Systems, ISSN 1875-6891, Vol. 7, no S1, 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
2014. Vol. 7, no S1, p. 105-112
Keyword [en]
Multi-criteria decision analysis, imprecision, criteria weights, elicitation
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:su:diva-96133DOI: 10.1080/18756891.2014.853954ISI: 000325810500010OAI: oai:DiVA.org:su-96133DiVA, id: diva2:663722
Note

AuthorCount:4;

Available from: 2013-11-12 Created: 2013-11-11 Last updated: 2018-01-11Bibliographically approved

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Danielson, MatsEkenberg, LoveLarsson, Aron
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