Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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
An improvement to swing techniques for elicitation in MCDM methods
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. International Institute for Applied Systems Analysis, IIASA, Austria.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. International Institute for Applied Systems Analysis, IIASA, Austria.
Number of Authors: 22019 (English)In: Knowledge-Based Systems, ISSN 0950-7051, E-ISSN 1872-7409, Vol. 168, p. 70-79Article in journal (Refereed) Published
Abstract [en]

Several approaches that utilise various questioning procedures to elicit criteria weights exist, ranging from direct rating and point allocation to more elaborate methods. However, decision makers often find it difficult to understand how these methods work and how they should be comprehended. This article discusses the SWING family of elicitation techniques and suggests a refined method: the P-SWING method. Based on this, we provide an integrated framework for elicitation, modelling and evaluation of multi-criteria decision problems.

Place, publisher, year, edition, pages
2019. Vol. 168, p. 70-79
Keywords [en]
Multi-criteria decision methods, Weight elicitation, Improved SWING method, Quality assurance
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:su:diva-167467DOI: 10.1016/j.knosys.2019.01.001ISI: 000460715300008OAI: oai:DiVA.org:su-167467DiVA, id: diva2:1301967
Available from: 2019-04-03 Created: 2019-04-03 Last updated: 2019-04-03Bibliographically approved

Open Access in DiVA

No full text in DiVA

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
Knowledge-Based Systems
Computer and Information Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 47 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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