Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A Robustness Study of State-of-the-Art Surrogate Weights for MCDM
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. International Institute for Applied Systems Analysis, Austria.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. International Institute for Applied Systems Analysis, Austria.
2016 (English)In: Group Decision and Negotiation, ISSN 0926-2644, E-ISSN 1572-9907Article in journal (Refereed) Epub ahead of print
Abstract [en]

A vast number of methods for solving multi-criteria decision problems have been suggested for assessing criteria weights requiring more exact input data than users normally are able to provide. In particular, the selection of adequate criteria weights is difficult and in order to be realistic, other methods must be introduced. One class of such methods is to introduce so called surrogate weights, where numerical weights are assigned to each criterion based on a cardinal or ordinal rank ordering, assumed to represent the information extracted from the user. One essential problem is the robustness of such methods. In this article, we compare state-of-the-art methods based on surrogate weights from the literature and, utilising a simulation approach, discuss underlying assumptions and robustness properties. This results in a quantitative measurement of these weighting methods and a methodology applicable also to forthcoming methods.

Place, publisher, year, edition, pages
2016.
Keyword [en]
Multi-criteria decision analysis, Surrogate criteria weights, Robustness, Criteria ranking, Rank order
National Category
Information Systems
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-137467DOI: 10.1007/s10726-016-9494-6OAI: oai:DiVA.org:su-137467DiVA: diva2:1062742
Available from: 2017-01-08 Created: 2017-01-08 Last updated: 2017-05-09

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Danielson, MatsEkenberg, Love
By organisation
Department of Computer and Systems Sciences
In the same journal
Group Decision and Negotiation
Information Systems

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 4 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf