Symmetric Sequential Stability in the Graph Model for Conflict Resolution with Multiple Decision Makers

2016 ◽  
Vol 26 (4) ◽  
pp. 775-792 ◽  
Author(s):  
Leandro Chaves Rêgo ◽  
Giannini Italino Alves Vieira
Keyword(s):  
Conflict Resolution ◽  
Graph Model ◽  
Decision Makers ◽  
Multiple Decision Makers

Combining strength and uncertainty for preferences in the graph model for conflict resolution with multiple decision makers

2009 ◽  
Vol 69 (4) ◽  
pp. 497-521 ◽  
Author(s):  
Haiyan Xu ◽  
Keith W. Hipel ◽  
D. Marc Kilgour ◽  
Ye Chen
Keyword(s):  
Conflict Resolution ◽  
Graph Model ◽  
Decision Makers ◽  
Multiple Decision Makers

Grey-Based Preference in a Graph Model for Conflict Resolution With Multiple Decision Makers

2015 ◽  
Vol 45 (9) ◽  
pp. 1254-1267 ◽  
Author(s):  
Hanbin Kuang ◽  
M. Abul Bashar ◽  
Keith W. Hipel ◽  
D. Marc Kilgour
Keyword(s):  
Conflict Resolution ◽  
Graph Model ◽  
Decision Makers ◽  
Multiple Decision Makers

Strategic analysis of the James Bay hydro-electric dispute in Canada

2005 ◽  
Vol 32 (5) ◽  
pp. 868-880 ◽  
Author(s):  
Jing Ma ◽  
Keith W Hipel ◽  
Mitali De
Keyword(s):  
Conflict Resolution ◽  
Decision Support ◽  
Stability Analysis ◽  
Decision Support System ◽  
Support System ◽  
Graph Model ◽  
Decision Makers ◽  
Native People ◽  
Strategic Analysis ◽  
James Bay

A strategic analysis of the James Bay conflict was carried out by using the graph model for conflict resolution. In 1971, Hydro-Québec, which is the third-largest electrical generating company of North America, began its large-scale hydroelectric projects in the James Bay area. Since the projects would significantly affect the living conditions of the native people and the environment around that region, worldwide debates were stimulated. A conflict model was developed in terms of the decision makers, their options, and their preferences for the situation existing as of January 2002, just prior to the signing of the final agreement. Subsequently, a stability analysis based on the calibrated model indicates that a possible resolution is that Hydro-Québec reduces the number of proposed power stations to appease the native people, who in turn would not initiate lawsuits. Sensitivity and hypergame analyses were also carried out to demonstrate the effects of preferences of decision makers on the final resolution. In practice, the modelling and analysis were implemented using the decision support system, GMCR II®. Key words: Hydroelectric, conflict resolution, decision support system, graph model, stability analysis, sensitivity analysis, hypergame analysis.

The graph model for conflict resolution with consensus fuzzy preferences and its application to environmental sustainable development

2020 ◽  
Vol 39 (5) ◽  
pp. 6721-6731
Author(s):  
Nannan Wu ◽  
Yejun Xu ◽  
Lizhong Xu ◽  
Huimin Wang
Keyword(s):  
Sustainable Development ◽  
Conflict Resolution ◽  
Preference Relation ◽  
Graph Model ◽  
Decision Makers ◽  
The Novel ◽  
Equilibrium Solutions ◽  
Fuzzy Preferences ◽  
Fuzzy Solution ◽  
Behavior Characteristics

Conflict of environmental sustainable development as a common phenomenon can be seen everywhere in life. To capture consensus problems of decision makers (DMs) in conflict, a consensus and non-consensus fuzzy preference relation (FPR) matrix is proposed to the framework of the Graph Model for Conflict Resolution (GMCR). Concentrating on the case of two DMs within GMCR paradigm, four standard fuzzy solution concepts are developed into eight fuzzy stability definitions which can fully represent DMs’ behavior characteristics of win-win and self-interested. To demonstrate how the novel GMCR methodology proposed in this paper can be conveniently utilized in practice, it is then applied to an environmental sustainable development conflict with two DMs. The results show that the general fuzzy equilibrium solutions are the intersection of consensus fuzzy equilibrium and non-consensus fuzzy equilibrium. Therefore, the GMCR technique considering DMs’ consensus can effectively predict the various possible solutions of conflict development under different DMs’ behavior preferences and provide new insights for analysts into a conflict.

scholarly journals Fuzzy levels of preference strength in a graph model with multiple decision makers

2019 ◽  
Vol 377 ◽  
pp. 71-84 ◽  
Author(s):  
Jing Yu ◽  
Keith W. Hipel ◽  
D. Marc Kilgour ◽  
Liping Fang
Keyword(s):  
Graph Model ◽  
Decision Makers ◽  
Multiple Decision Makers ◽  
Preference Strength
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