Complementary Judgment Matrix Method with Imprecise Information for Multicriteria Decision-Making

 |  Login

Show simple item record

dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Wang, Haichao
dc.contributor.author Lahdelma, Risto
dc.contributor.author Salminen, Pekka
dc.date.accessioned 2018-12-10T10:34:23Z
dc.date.available 2018-12-10T10:34:23Z
dc.date.issued 2018
dc.identifier.citation Wang , H , Lahdelma , R & Salminen , P 2018 , ' Complementary Judgment Matrix Method with Imprecise Information for Multicriteria Decision-Making ' Mathematical Problems in Engineering . DOI: 10.1155/2018/3695627 en
dc.identifier.issn 1024-123X
dc.identifier.issn 1563-5147
dc.identifier.other PURE UUID: ed6ceb8e-446b-435a-8ae4-59074dc37daf
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/complementary-judgment-matrix-method-with-imprecise-information-for-multicriteria-decisionmaking(ed6ceb8e-446b-435a-8ae4-59074dc37daf).html
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/30140482/3695627.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/35337
dc.description.abstract The complementary judgment matrix (CJM) method is an MCDA (multicriteria decision aiding) method based on pairwise comparisons. As in AHP, the decision-maker (DM) can specify his/her preferences using pairwise comparisons, both between different criteria and between different alternatives with respect to each criterion. The DM specifies his/her preferences by allocating two nonnegative comparison values so that their sum is 1. We measure and pinpoint possible inconsistency by inconsistency errors. We also compare the consistency of CJM and AHP trough simulation. Because preference judgments are always more or less imprecise or uncertain, we introduce a way to represent the uncertainty through stochastic distributions, and a computational method to treat the uncertainty. As in Stochastic Multicriteria Acceptability Analysis (SMAA), we consider different uncertainty levels: precise comparisons, imprecise comparisons with a stochastic distribution, and missing comparisons between criteria. We compute rank acceptability indices for the alternatives, describing the probability of an alternative to obtain a given rank considering the level of uncertainty and study the influence of the uncertainty on the SMAA-CJM results. en
dc.format.extent 11
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries Mathematical Problems in Engineering en
dc.relation.ispartofseries articlenumber 3695627 en
dc.rights openAccess en
dc.subject.other 214 Mechanical engineering en
dc.title Complementary Judgment Matrix Method with Imprecise Information for Multicriteria Decision-Making en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Department of Mechanical Engineering
dc.contributor.department University of Jyväskylä
dc.contributor.department Department of Mathematics and Systems Analysis en
dc.subject.keyword 214 Mechanical engineering
dc.identifier.urn URN:NBN:fi:aalto-201812106352
dc.identifier.doi 10.1155/2018/3695627
dc.type.version publishedVersion


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search archive


Advanced Search

article-iconSubmit a publication

Browse

My Account