Multi criteria decision making with Evidential Reasoning under uncertainty
2016 (English)In: IEEE International Conference on Industrial Engineering and Engineering Management, 2016, 1534-1538 p.Conference paper (Refereed)
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.
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
Other Engineering and Technologies
IdentifiersURN: 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
2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016, 4 December 2016 through 7 December 2016