Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/6753
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dc.contributor.authorDr. KWOK Pak Ki, Alexen_US
dc.contributor.authorLau, Y. K. Henryen_US
dc.date.accessioned2021-11-19T06:38:05Z-
dc.date.available2021-11-19T06:38:05Z-
dc.date.issued2018-
dc.identifier.citationIEEE Access, 2018, vol. 6, pp. 3509-3523.en_US
dc.identifier.issn2169-3536-
dc.identifier.urihttp://hdl.handle.net/20.500.11861/6753-
dc.descriptionOpen accessen_US
dc.description.abstractThis paper presents a methodology for building a consensus among the stakeholders based on the level of importance of each evaluation criterion to choose the best final design, approach, or solution for a project. The proposed methodology adopts an improved vague set minimum-cost consensus model (MCCM) and a modified Delphi method. This paper discusses several shortcomings of the traditional MCCM and the Delphi method. It argues that humans' resistance to change based on a numerical rating scale follows a natural logarithm pattern instead of a linear or quadratic pattern as claimed in other studies. Hence, the traditional MCCM needs to be revised accordingly. In addition, an experiment was concluded to compare the proposed consensus-building methodology with the traditional Delphi method. The experiment showed that the proposed methodology is better than the traditional Delphi method regarding using fewer rounds to reach a consensus. At last, this paper applies the proposed methodology to the field of road junction design selection.en_US
dc.language.isoenen_US
dc.relation.ispartofIEEE Accessen_US
dc.titleA modified consensus-building methodology for reaching a group decision using minimum costsen_US
dc.typePeer Reviewed Journal Articleen_US
dc.identifier.doi10.1109/ACCESS.2017.2787677-
crisitem.author.deptDepartment of Applied Data Science-
item.fulltextNo Fulltext-
Appears in Collections:Applied Data Science - Publication
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