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dc.contributor.authorAlmulhim, Tarifa
dc.contributor.authorMikhailov, Ludmil
dc.contributor.authorXu, Dong-Ling
dc.date2013-09
dc.date.accessioned2020-01-20T12:18:46Z
dc.date.available2020-01-20T12:18:46Z
dc.identifier.issn1989-1660
dc.identifier.urihttps://reunir.unir.net/handle/123456789/9731
dc.description.abstractSeveral Multi-Criteria Decision Making (MCDM) methods involve pairwise comparisons to obtain the preferences of decision makers (DMs). This paper proposes a fuzzy group prioritization method for deriving group priorities/weights from fuzzy pairwise comparison matrices. The proposed method extends the Fuzzy Preferences Programming Method (FPP) by considering the different importance weights of multiple DMs . The elements of the group pairwise comparison matrices are presented as fuzzy numbers rather than exact numerical values, in order to model the uncertainty and imprecision in the DMs’ judgments. Unlike the known fuzzy prioritization techniques, the proposed method is able to derive crisp weights from incomplete and fuzzy set of comparison judgments and does not require additional aggregation procedures. A prototype of a decision tool is developed to assist DMs to implement the proposed method for solving fuzzy group prioritization problems in MATLAB. Detailed numerical examples are used to illustrate the proposed approach.es_ES
dc.language.isoenges_ES
dc.publisherInternational Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)es_ES
dc.relation.ispartofseries;vol. 02, nº 03
dc.relation.urihttps://www.ijimai.org/journal/node/482es_ES
dc.rightsopenAccesses_ES
dc.subjectfuzzy non-linear programminges_ES
dc.subjectfuzzy preferences programming methodes_ES
dc.subjectmultiple criteria decision makinges_ES
dc.subjecttriangular fuzzy numberses_ES
dc.subjectIJIMAIes_ES
dc.titleA Fuzzy Group Prioritization Method for Deriving Weights and its Software Implementationes_ES
dc.typearticlees_ES
reunir.tag~IJIMAIes_ES
dc.identifier.doihttp://dx.doi.org/10.9781/ijimai.2013.231


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