mdh.sePublications
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
Multi criteria decision making with Evidential Reasoning under uncertainty
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.ORCID iD: 0000-0002-8524-3321
2016 (English)In: IEEE International Conference on Industrial Engineering and Engineering Management, 2016, 1534-1538 p.Conference paper (Refereed)
Abstract [en]

Many decision problems have more than one objective that need to be dealt with simultaneously. Moreover, because of the qualitative nature of the most of real world problem it is an inevitable activity and very important to interpret and present the uncertain information for making effective decision. The Evidential Reasoning (ER) approach which is one of the latest development within multi criteria decision making (MCDM) seems to be the best fit to synthesize both qualitative and quantitative data under uncertainty. To support this claim, two case studies were tested to illustrate the application of ER for prioritization and ranking of decision alternative to support decision process even with uncertain information. The importance of having a better structured decision process is essential for the success of any organization, so it can be applied widely in most of real world problem dealing with making effective decision.

Place, publisher, year, edition, pages
2016. 1534-1538 p.
Keyword [en]
decision criteria, Evidential reasoning, prioritization, uncertainty, Engineering, Industrial engineering, Decision criterions, Evidential reasoning approaches, Multi-criteria decision making, nocv1, Real-world problem, Uncertain informations, Decision making
National Category
Other Engineering and Technologies
Identifiers
URN: urn:nbn:se:mdh:diva-34768DOI: 10.1109/IEEM.2016.7798134ISI: 000392208100311ScopusID: 2-s2.0-85009895145ISBN: 9781509036653 OAI: oai:DiVA.org:mdh-34768DiVA: diva2:1072691
Conference
2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016, 4 December 2016 through 7 December 2016
Available from: 2017-02-08 Created: 2017-02-02 Last updated: 2017-02-16Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Ahmadzadeh, Farzaneh
By organisation
Innovation and Product Realisation
Other Engineering and Technologies

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 24 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