Mixed stabilities for analyzing opponents’ heterogeneous behavior within the graph model for conflict resolution
Shinan Zhao,
Haiyan Xu,
Keith W. Hipel and
Liping Fang
European Journal of Operational Research, 2019, vol. 277, issue 2, 621-632
Abstract:
Mixed stabilities are incorporated into the Graph Model for Conflict Resolution (GMCR) for modeling and analyzing a complicated conflict with heterogeneous opponents, consisting of both credible and non-credible players. To identify the mixed coalitional movements, mixed unilateral improvements (MUIs) are constructed in this research followed by a specific example. Subsequently, two types of mixed stabilities are developed within the GMCR paradigm for conveniently portraying different sanctioning behavior of heterogeneous opponents. Compared to general metarationality (GMR), symmetric metarationality (SMR) and sequential stability (SEQ), mixed stabilities take into account different sanctioning moves by opponents, which is more practical and useful for investigating real-world disputes. Furthermore, the interrelationships among mixed stabilities and four classical stabilities are discussed. Subsequently, equilibria with mixed stabilities are proposed, in which each decision maker may adopt a different solution concept defining his or her behavior. To enhance the efficiency of mixed stability calculations, the algebraic representations of mixed stabilities are then constructed. Finally, a generic environmental conflict in China is utilized to demonstrate how mixed stabilities can be employed to effectively address an actual dispute with heterogeneous opponents.
Keywords: Group decision and negotiation; Conflict resolution; Mixed stabilities; Heterogeneous opponents; Matrix representation (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0377221719301912
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:277:y:2019:i:2:p:621-632
DOI: 10.1016/j.ejor.2019.02.043
Access Statistics for this article
European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati
More articles in European Journal of Operational Research from Elsevier
Bibliographic data for series maintained by Catherine Liu (repec@elsevier.com).