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dc.contributor.authorWang, Yu-Chengen_US
dc.contributor.authorChen, Tin-Chih Tolyen_US
dc.date.accessioned2019-04-02T05:58:45Z-
dc.date.available2019-04-02T05:58:45Z-
dc.date.issued2019-02-01en_US
dc.identifier.issn2227-7390en_US
dc.identifier.urihttp://dx.doi.org/10.3390/math7020179en_US
dc.identifier.urihttp://hdl.handle.net/11536/148998-
dc.description.abstractExisting fuzzy analytic hierarchy process (FAHP) methods usually aggregate the fuzzy pairwise comparison results produced by multiple decision-makers (DMs) rather than the fuzzy weights estimations. This is problematic because fuzzy pairwise comparison results are subject to uncertainty and lack consensus. To address this problem, a partial-consensus posterior-aggregation FAHP (PCPA-FAHP) approach is proposed in this study. The PCPA-FAHP approach seeks a partial consensus among most DMs instead of an overall consensus among all DMs, thereby increasing the possibility of reaching a consensus. Subsequently, the aggregation result is defuzzified using the prevalent center-of-gravity method. The PCPA-FAHP approach was applied to a supplier selection problem to validate its effectiveness. According to the experimental results, the PCPA-FAHP approach not only successfully found out the partial consensus among the DMs, but also shrunk the widths of the estimated fuzzy weights to enhance the precision of the FAHP analysis.en_US
dc.language.isoen_USen_US
dc.subjectfuzzy analytic hierarchy processen_US
dc.subjectdecision-makingen_US
dc.subjectpartial consensusen_US
dc.subjectposterior aggregationen_US
dc.titleA Partial-Consensus Posterior-Aggregation FAHP Method-Supplier Selection Problem as an Exampleen_US
dc.typeArticleen_US
dc.identifier.doi10.3390/math7020179en_US
dc.identifier.journalMATHEMATICSen_US
dc.citation.volume7en_US
dc.contributor.department工業工程與管理學系zh_TW
dc.contributor.departmentDepartment of Industrial Engineering and Managementen_US
dc.identifier.wosnumberWOS:000460802500069en_US
dc.citation.woscount0en_US
Appears in Collections:Articles