A three-way large-scale group decision-making method integrating sentiment analysis and quantum interference-based prospect theory for the selection of new energy vehicles

Juanjuan Ding, Chao Zhang, Deyu Li, Wentao Li, Jianming Zhan

Abstract: Highlights•The GWO_BiLSTM_Attention is employed to perform sentiment analysis.•The evidential density peaks-based three-way clustering is applied as clustering.•The silhouette coefficient and maximum entropy method is adopted as weights.•The quantum interference-based prospect theory method achieves consensus.•The decision-theoretic rough set method is applied to obtain the ranking result.