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Rank Ordering Methods for Multi-Criteria Decisions
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: Group Decision and Negotiation. A Process-Oriented View: Proceedings, Springer, 2014, -135 p.Conference paper, Published paper (Refereed)
Abstract [en]

Criteria weights are typically cognitively demanding to elicit and numeric precision is problematic since information in real-life multi-criteria decision making often is imprecise. One important class of methods rank the criteria and receive a criteria ordering which can be handled in various ways by, e.g., converting the resulting ranking into numerical weights, so called surrogate weights. In this article, we analyse the relevance of these methods and to what extent some validation processes are strongly dependent on the simulation assumptions. We also suggest more robust methods as candidates for modelling and analysing multi-criteria decision problems of this kind.

Place, publisher, year, edition, pages
Springer, 2014. -135 p.
Series
Lecture Notes in Business Information Processing, ISSN 1865-1348 ; 180
National Category
Information Systems
Research subject
Information Society
Identifiers
URN: urn:nbn:se:su:diva-111855DOI: 10.1007/978-3-319-07179-4_14ISBN: 978-3-319-07178-7 (print)ISBN: 978-3-319-07179-4 (print)OAI: oai:DiVA.org:su-111855DiVA: diva2:776810
Conference
Group Decision and Negotiation International Conference, Toulouse, France, June 10-13, 2014
Available from: 2015-01-08 Created: 2015-01-08 Last updated: 2015-01-13Bibliographically approved

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Danielson, MatsEkenberg, Love
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