The graph model for conflict resolution (GMCR) provides a convenient and effective means to model and analyze a strategic conflict. Standard practice is to carry out a stability analysis of a graph model, and then to follow up with a post-stability analysis, two critical components of which are status quo analysis and coalition analysis. In stability analysis, an equilibrium is a state that is ...

Abstract Graph model for conflict resolution (GMCR) is a robust tool resolving disagreements among parties with contradictory interests in potential conflict. In GMCR, decision-makers (DMs) and their preferences are determined. The DMs defined as people, parties, or groups having the authority to make decisions power get these approved. This definition excludes some stakeholders no ability exer...

One of the most stressful human interactions is conflict. In some cases, it can bring high losses even to parties that are not involved in A possible scenario for resolving conflict be found using a Graph Model Conflict Resolution (GMCR) which tool used analyze conflicts and present scenarios seen as solutions Considering several stability criteria, this work, we case study: historical backgrou...

In order to quantitatively depict differences regarding the preferences of decision makers for different states, a score function is proposed. As a foundation, coalition motivation and real-coalition analysis are discussed when external circumstance or opportunity costs are considering. On the basis of a confidence-level function, we establish the score function using a "preference tree". We no...

The fuzzy preference framework of Graph Model for Conflict Resolution (GMCR), handling both crisp and fuzzy preferences of decision makers (DMs), is capable of calculating and predicting different conflict resolutions (equilibria) according to DMs’ different satisficing criteria. Employing this methodology, a water contamination conflict occurs at the boundary of Jiangsu and Zhejiang provinces ...

In recent years, with the promotion of carbon peak and neutrality policy, issue environmental, social governance (ESG) information disclosure has become a hot topic common concern to all sectors society. Through study conflict mechanism in ESG disclosure, it can help decision makers choose solution which be accepted by others them develop. By implementing Graph Model for Conflict Resolution (GM...

The graph model for conflict resolution (GMCR) methodology was enhanced in this research addressing cross-basin water pollution conflicts involving heterogeneous sanctions, as a more intuitive and straightforward definition mixed unilateral improvements proposed, followed by an integrated procedure performing stability analyses. Furthermore, the cross-border dispute that occurred 2018 Hongze La...

Accurately simulating the dynamic evolution of behaviors different decision-makers (DMs) is essential for identifying solutions to transboundary water conflicts. The purpose this study present a evolutionary analysis model behavior users and solving problem To accomplish goal, revenue function, which can objectively evaluate relative preferences DMs in conflicts, was constructed improve graph c...

An integrative conflict analysis approach, incorporating an Analytic Hierarchy Process (AHP) based preference ranking method into the Graph Model for Conflict Resolution (GMCR), is employed to investigate the Canadian west coast port congestion dispute. The Canadian west coast has historically been an important gateway connecting North America to Asia thanks to its specific geographical and str...

This paper analyses the feasibility and potential future of Iran’s satellite development project using Graph Model for Conflict Resolution (GMCR). United Nations Security Council (UNSC), The USA Iranian government were selected as three main decision makers. list rank-based preferences was generated each maker based on their priorities arguments during various negotiations carried out throughou...