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 …

We generalize the Graph Model for Conflict Resolution (GMCR), introducing the possibility
of decision makers expressing their preferences among the possible conflict scenarios using …

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 …

We propose a model where decision makers may express their preferences among the
possible conflict scenarios using upper and lower probabilities in the graph model for …

A three-level preference (or called strength of preference) ranking structure based on option
prioritization is developed within the paradigm of the Graph Model for Conflict Resolution. In …

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 …

Explicit matrix representations of solution concepts in a graph model of a multiple-decision-
maker conflict with preference uncertainty are developed. In a graph model, the relative …

Abstract The Inverse GMCR (Graph Model for Conflict Resolution) produces rankings of
possible states (preference relation profiles) that will make the desired resolution of a conflict …

An option prioritization technique is developed to efficiently elicit the preferences, both
unknown and crisp, of decision makers (DMs) in strategic conflicts. In the Graph Model for …

In this paper, matrix methods are developed to determine stable states in the graph model
for conflict resolution (GMCR) with probabilistic preferences with n decision makers. The …