Matrix Representation of Solution Concepts in the Graph Model for Conflict Resolution with Probabilistic Preferences and Multiple Decision Makers
Sign Up to like & getrecommendations! Published in 2021 at "Group Decision and Negotiation"
DOI: 10.1007/s10726-021-09729-y
Abstract: 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 matrix methods are used to determine more easily… read more here.
Keywords: alpha beta; model conflict; stability; model ... See more keywords
Development of a genetic algorithm-based graph model for conflict resolution for optimizing resolutions in environmental conflicts
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Hydroinformatics"
DOI: 10.2166/hydro.2023.169
Abstract: Graph model for conflict resolution (GMCR) is a robust tool for resolving disagreements among parties with contradictory interests in a potential conflict. In GMCR, decision-makers (DMs) and their preferences are determined. The DMs are defined… read more here.
Keywords: conflict; conflict resolution; resolution; model conflict ... See more keywords