Conflict analysis based on a novel three-way decisions graph model for conflict resolution method under hesitant fuzzy environment

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dc.authoridchen, lu/0000-0002-4070-7903
dc.contributor.authorChen, Lu
dc.contributor.authorXu, Haiyan
dc.contributor.authorPedrycz, Witold
dc.date.accessioned2024-05-19T14:41:57Z
dc.date.available2024-05-19T14:41:57Z
dc.date.issued2023
dc.departmentİstinye Üniversitesien_US
dc.description.abstractMulti-criteria decision aiding/making (MCDA/M) approach and three-way decisions (3WD) are embedded into the framework of graph model for conflict resolution (GMCR). The objective of this study is to develop more reasonable preference ranking for decision makers (DMs) produced from the perspective of options. This implies further simplification of the underlying computing behind conflict resolution. More specifically, DMs' original option statements are evaluated by hesitant fuzzy sets (HFSs), then a three-way decisions approach is used to screen out the infeasible and rank the feasible option statements, and the feasible option statements' loss values of three-way decisions approach are determined based on the hesitant fuzzy (HF) evaluation values. In addition, based on the value of conditional probability of the feasible option statements, an improved option prioritization technique with objective weights is developed to efficiently rank the conflict states, so that it can efficiently reflect the intensity of the ranking. Then, considering the preference thresholds of DMs, new definitions of threshold stabilities are proposed. As demonstrated by the case study in the problem of a carbon emission conflict in supply chain under 3060 carbon peak and neutrality goal in China, the proposed novel three-way decisions graph model for conflict resolution (3WD-GMCR) framework can be widely applied to the realistic scenarios of decision-making. Compared with previous studies, the proposed approach can not only obtain the intensity ranking of conflict states, but also resolve complex large-scale conflicts effectively.en_US
dc.description.sponsorshipNational Natural Science Foundation (NSFC) of China [71971115, 72001096, 71471087, 61673209]; Foundation of China Scholarship Council [202106830110]; Postgraduate Research amp; Practice Innovation Program of Jiangsu Province [KYCX22_0389]en_US
dc.description.sponsorshipThis work was supported by the National Natural Science Foundation (NSFC) of China (Nos. 71971115, 72001096, 71471087, 61673209) , the Foundation of China Scholarship Council (No. 202106830110) , and the Postgraduate Research & Practice Innovation Program of Jiangsu Province (No. KYCX22_0389) .en_US
dc.identifier.doi10.1016/j.inffus.2023.101936
dc.identifier.issn1566-2535
dc.identifier.issn1872-6305
dc.identifier.scopus2-s2.0-85166644057en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org10.1016/j.inffus.2023.101936
dc.identifier.urihttps://hdl.handle.net/20.500.12713/5182
dc.identifier.volume100en_US
dc.identifier.wosWOS:001051892100001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofInformation Fusionen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectGraph Model For Conflict Resolutionen_US
dc.subjectThree-Way Decisionsen_US
dc.subjectHesitant Fuzzy Setsen_US
dc.subjectOption Prioritizationen_US
dc.subjectCarbon Peak And Neutralityen_US
dc.titleConflict analysis based on a novel three-way decisions graph model for conflict resolution method under hesitant fuzzy environmenten_US
dc.typeArticleen_US

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