Preference learning based on adaptive graph neural network for multi-criteria decision support

Zhenhua Meng, Rongheng Lin, Budan Wu

Abstract: Highlights•Map decision factors to the graph domain and construct a preference feature graph.•Adaptive GNN model fuses criterion and category embeddings with attention mechanism.•Develop a GNNs-based PL method for multi-criteria decision support.•Bridge the gap between MCDM and PL in the context of intelligent decision-making.