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dc.creatorPamučar, Dragan
dc.creatorMihajlović, Milan
dc.creatorObradović, Radojko
dc.creatorAtanasković, P.
dc.date.accessioned2019-10-31T11:22:39Z
dc.date.available2019-10-31T11:22:39Z
dc.date.issued2017
dc.identifier.issn0957-4174
dc.identifier.urihttps://raf.arh.bg.ac.rs/handle/123456789/251
dc.description.abstractThis paper presents a novel approach for treating uncertainty in the multi-criteria decision making process by introducing interval rough numbers (IRN). The IRN approach enables decision making using only the internal knowledge incorporated in the data provided by the decision maker. A hybrid multi-criteria model was developed based on IRN, and demonstrated using the example of the bidder selection process in the state administration public procurement procedure. The first segment of the hybrid model deals with the rough interval DEMATEL-ANP (IR'DANP) model, which enables more objective expert evaluation of criteria in a subjective environment than the traditional/crisp approach. In the second segment, the evaluation is enabled by applying the new rough interval MAIRCA method, which introduces mathematical tools and shows high stability concerning changes in the nature and characteristics of the criteria. The results of the hybrid IR'DANP-MAIRCA model were analyzed using 36 scenarios of sensitivity analysis, which showed high stability of the results. The results of the interval rough method were compared with the fuzzy extensions of the TOPSIS, VIKOR, MABAC, TODIM, ELECTRE 1 and DEMATEL-ANP models.en
dc.publisherElsevier Ltd
dc.rightsrestrictedAccess
dc.sourceExpert systems with applications
dc.subjectANPen
dc.subjectDEMATELen
dc.subjectInterval rough numbersen
dc.subjectMAIRCAen
dc.subjectPublic procurementsen
dc.titleNovel approach to group multi-criteria decision making based on interval rough numbers: Hybrid DEMATEL-ANP-MAIRCA modelen
dc.typearticle
dc.rights.licenseARR
dcterms.abstractМихајловић, Милан; Aтанасковић, П.; Обрадовић, Радојко; Памучар, Драган;
dc.citation.volume88
dc.citation.spage58
dc.citation.epage80
dc.citation.other88: 58-80
dc.citation.rankaM21
dc.identifier.wos000408789300005
dc.identifier.doi10.1016/j.eswa.2017.06.037
dc.identifier.scopus2-s2.0-85021656933
dc.type.versionpublishedVersion


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