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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/75271 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/75271 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/75271 archive 353 disk0/00/01/42/19 2017-01-05 12:29:39 2021-08-27 17:28:21 2017-01-05 12:29:39 article show Danielson M. Ekenberg L. 7576 0000-0002-0665-1889 pub prog_risk prog_rpv Multi-criteria decision analysis, Criteria weights, Criteria ranking, Rank order 16th International Conference on Group Decision and Negotiation, GDN 2016; Bellingham; United States; 20-24 June 2016 Weight elicitation methods in multi-criteria decision analysis (MCDA) are often cognitively demanding, require too much precision and too much time and effort. Some of the issues may be remedied by connecting elicitation methods to an inference engine facilitating a quick and easy method for decision-makers to use weaker input statements, yet being able to utilize these statements in a method for decision evaluation. One important class of such methods ranks the criteria and converts the resulting ranking into numerical so called surrogate weights. We analyse the relevance of these methods and discuss how robust they are as candidates for modelling decision-makers and analysing multi-criteria decision problems under the perspectives of several stakeholders. 2017 published Springer Verlag 10.1007/978-3-319-52624-9_2 79 public Lecture Notes in Business Information Processing Lecture Notes in Business Information Processing 274 Germany 16-27 TRUE 1865-1348 Proceedings of GDN 2016 Bajwa D. FALSE no info:eu-repo/semantics/article