The ranking of decision makers (DMs)'preferences for feasible states in the graph model for
conflict resolution (GMCR) is crucial for accurately determining stability results. This paper …

Sensitivity analyses based on an algebraic representation in the graph model for conflict
resolution (GMCR) are generalized for ascertaining the robustness of stability results by …

As a flexible and powerful method to resolve strategy conflicts, the graph model for conflict
resolution has drawn much attention. In the graph model for conflict resolution, decision …

Despite the influences on one's thoughts and actions, the attitude has usually been
overlooked in conflict analysis. The purpose of this paper is to develop a new systematic …

Probabilistic preferences have been proposed in the graph model for conflict resolution
(GMCR) to accommodate both situations in which a decision maker (DM) vacillates in which …

A hybrid preference framework is proposed for strategic conflict analysis to integrate
preference strength and preference uncertainty into the paradigm of the graph model for …

Multi-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 …

A new hybrid preference framework of the graph model for conflict resolution (GMCR) is
proposed which allows decision makers (DMs) having both unknown preference and fuzzy …

A new hybrid preference framework of the Graph Model for Conflict Resolution (GMCR) is
proposed to facilitate modeling and analysis of conflicts involving two decision makers …

The existing consensus models of conflict decision-making generally assume that the
decision-makers' preferences are simple and certain. This assumption oversimplifies the …