Consensus methods with Nash and Kalai-Smorodinsky bargaining game for large-scale group decision-making

Yufeng Shen, Xueling Ma, Gang Kou, Rosa M. Rodríguez, Jianming Zhan

Abstract: Highlights•A semi-supervised FCM clustering with two-stage trust constraints is introduced.•The optimal consensus adjustment is analysed from the perspective of cooperative game.•A two-type MCCM with cooperative and non-cooperative behaviour is established.•Two new LSGDM methods with Nash and Kalai–Smorodinsky bargaining game are established.