Weighting Under Ambiguous Preferences and Imprecise Differences in a Cardinal Rank Ordering Process
2014 (English)In: International Journal of Computational Intelligence Systems, ISSN 1875-6891, Vol. 7, no S1, 105-112 p.Article in journal (Refereed) Published
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, 105-112 p.
Multi-criteria decision analysis, imprecision, criteria weights, elicitation
IdentifiersURN: urn:nbn:se:su:diva-96133DOI: 10.1080/18756891.2014.853954ISI: 000325810500010OAI: oai:DiVA.org:su-96133DiVA: diva2:663722