Graph Model for Conflict Resolution With Internal Consensus Reaching and External Game

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dc.contributor.authorZhang, Hengjie
dc.contributor.authorWang, Fang
dc.contributor.authorDong, Yucheng
dc.contributor.authorChiclana, Francisco
dc.contributor.authorHerrera-Viedma, Enrique
dc.date.acceptance2024-06-17
dc.date.accessioned2024-08-12T13:05:44Z
dc.date.available2024-08-12T13:05:44Z
dc.date.issued2024-07-18
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.abstractThe graph model is devoted to game conflicts arising from incongruent pursued objectives among conflicting parties. Considering that each conflicting party is composed of multiple individuals, preference conflicts stemming from differing cognitive levels and knowledge backgrounds exist among internal individuals. This scenario simultaneously involving game conflicts and preference conflicts is termed dual conflict decision-making problem. Tailored to effectively address this problem, this study proposes an enhanced graph model that incorporates internal consensus and external stability. The best–worst method, incorporating comparative linguistic expressions, is devised to effectively elicit individual preferences over game states. To mitigate preference conflicts inherent to internal individuals within conflicting party concerning game states, a consensus reaching model minimizing preference information loss is introduced. By this way, collective preferences are obtained. Based on these, the concept of “game consensus” is proposed to manage the game conflicts and the diverse behaviors exhibited by conflicting party. Finally, a case study regarding price conflict within a dual-channel supply chain, accompanied by a comparative analysis, is presented to validate the effectiveness of the proposal. Compared to existing graph model, the proposal effectively grapples with consensus issues and heterogeneous behaviors within conflicting parties, making it more valuable in practice.
dc.funderNo external funder
dc.identifier.citationZhang, H., Dong, Y., Chiclana, F. and Herrera-Viedma, E. (2024) Graph model for conflict resolution with internal consensus reaching and external game. IEEE Transactions on Systems, Man and Cybernetics: Systems,
dc.identifier.doihttps://doi.org/10.1109/TSMC.2024.3418469
dc.identifier.issn2168-2216
dc.identifier.issn2168-2232
dc.identifier.urihttps://hdl.handle.net/2086/24113
dc.language.isoen
dc.peerreviewedYes
dc.publisherIEEE
dc.relation.ispartofIEEE Transactions on Systems, Man, and Cybernetics: Systems
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.subjectConflict analysis
dc.subjectconsensus
dc.subjectgraph model
dc.subjectgroup decisions and negotiations
dc.subjectoptimization model
dc.titleGraph Model for Conflict Resolution With Internal Consensus Reaching and External Game
dc.typeArticle

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