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dc.contributor.authorChao, Xiangrui
dc.contributor.authorKou, Gang
dc.contributor.authorPeng, Yi
dc.contributor.authorHerrera Viedma, Enrique 
dc.date.accessioned2020-11-09T07:33:37Z
dc.date.available2020-11-09T07:33:37Z
dc.date.issued2020-06-03
dc.identifier.citationX. Chao, G. Kou and Y. Peng et al. Large-scale group decision-making with non-cooperative behaviors and heterogeneous preferences: An application in financial inclusion. European Journal of Operational Research 288 (2021) 271–293 [https://doi.org/10.1016/j.ejor.2020.05.047]es_ES
dc.identifier.urihttp://hdl.handle.net/10481/64125
dc.descriptionThe authors thank the editor and anonymous referees for their valuable comments and insightful recommendations, and thank Prof. Yucheng Dong for the helpful suggestions. This research was supported in part by grants from the National Natural Science Foundation of China (#71874023, #U1811462, #71725001, #71771037, #71971042, #71910107002) and Major project of the National Social Science Foundation of China (#19ZDA092). Enrique Herrera-Viedma is supported by the FEDER funds in the project TIN2016-75850-R.es_ES
dc.description.abstractNon-cooperative behavior is a common situation in large-scale group decision-making (LSGDM) problems. In addition, decision makers in LSGDM often use different preference formats to express their opinions, due to their educational backgrounds, knowledge, and experiences. Heterogeneous preference information and non-cooperative behaviors bring challenges to LSGDM. This study develops a consensus reaching model to address heterogeneous LSGDM with non-cooperative behaviors and discuss its application in financial inclusion. Specifically, the cosine similarity degree is introduced to build a distance measure for different preference structures. Clustering analysis is employed to divide large-scale groups and handle non-cooperative behaviors in LSGDM. A consensus degree and a weighting process are proposed to decrease the influence of non-cooperative behaviors and facilitate the consensus reaching process. The convergence of the proposed approach is proven by theoretical and simulation analyses. Experimental studies are carried out to compare the performances of the proposed approach with existing methods. Finally, a real-life example from the “targeted poverty reduction project” in China is presented to validate the proposed approach. The selection of beneficiaries in finance inclusion is difficult due to the lack of credit history, the large number of participants, and the conflicting views of participants. The results showed that the proposed consensus model can integrate opinions of participants using diverse preference formats and reach an agreement efficiently.es_ES
dc.description.sponsorshipNational Natural Science Foundation of China (NSFC) 71874023 U1811462 71725001 71771037 71971042 71910107002es_ES
dc.description.sponsorshipMajor project of the National Social Science Foundation of China 19ZDA092es_ES
dc.description.sponsorshipEuropean Union (EU) TIN2016-75850-Res_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectGroup decision making and negotiationes_ES
dc.subjectConsensus buildinges_ES
dc.subjectHeterogeneous preference structureses_ES
dc.subjectNon-cooperative behaviorses_ES
dc.subjectFinancial inclusiones_ES
dc.titleLarge-scale group decision-making with non-cooperative behaviors and heterogeneous preferences: An application in financial inclusiones_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.1016/j.ejor.2020.05.047
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


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Except where otherwise noted, this item's license is described as Atribución-NoComercial-SinDerivadas 3.0 España