Optimal resources allocation to support the consensus reaching in group decision making

dc.contributor.authorFan, Sha
dc.contributor.authorLiang, Haiming
dc.contributor.authorLi, Cong-Cong
dc.contributor.authorChiclana, Francisco
dc.contributor.authorPedrycz, Witold
dc.contributor.authorDong, Yucheng
dc.date.acceptance2024-04-29
dc.date.accessioned2024-05-08T15:16:06Z
dc.date.available2024-05-08T15:16:06Z
dc.date.issued2024-04-30
dc.descriptionThe file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.
dc.description.abstractIn group decision making (GDM), the minimum cost consensus model (MCCM) to assist a group to reach a consensus with the minimum cost has gained widespread attention. However, determining the unit costs for adjusting decision makers’ opinions in the MCCM is a challenging problem that limits its practical applications. Meanwhile, the MCCM is not modeled as a resources allocation problem in an explicit manner, and the opinions in the MCCM do not represent utilities/satisfactions, leading to the unclear implications of opinions’ adjustments. To overcome these limitations of the MCCM, this paper proposes the optimal resources allocation consensus model (ORACM) to assist the moderator to allocate resources without determining unit costs to support consensus reaching, through the introduction of the resources allocation problem and utility functions in its modeling. Furthermore, we present a theoretical analysis framework to reveal the properties of the ORACM and the connection between the ORACM and the MCCM, justifying the theoretical advantages of the ORACM. Moreover, the ORACM is applied to the transboundary river pollution control negotiations of Sichuan's Tuojiang River, and the effectiveness and feasibility of the ORACM are further validated with detailed simulation and comparison analyses.
dc.funderNo external funder
dc.identifier.citationFan, S. et al. (2024) Optimal resources allocation to support the consensus reaching in group decision making, Information Fusion, 102451
dc.identifier.doihttps://doi.org/10.1016/j.inffus.2024.102451
dc.identifier.issn1566-2535
dc.identifier.urihttps://hdl.handle.net/2086/23768
dc.language.isoen
dc.peerreviewedYes
dc.publisherElsevier
dc.relation.ispartofInformation Fusion
dc.researchinstituteInstitute of Artificial Intelligence (IAI)
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectGroup decision and negotiation
dc.subjectconsensus
dc.subjectresources allocation
dc.subjectutility function
dc.subjectdecision support
dc.titleOptimal resources allocation to support the consensus reaching in group decision making
dc.typeArticle

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