Consensus Reaching in Multiple Attribute Group Decision Making: A Multi-Stage Optimization Feedback Mechanism With Individual Bounded Confidences

Existing consensus models focus on improving the group level, but ignore whether a higher level means mutual acceptance of decision makers. In field opinion dynamics, bounded confidence model asserts that makers will accept preferences others within neighborhood theirs with width certain level. Inspired by this research methodology, article develops to address issue based individual confidences. Specifically, confidence-based measure is designed acceptance, and multi-stage optimization feedback mechanism confidences proposed maximize minimize amount preference adjustment. A numerical example simulation analysis are included illustrate use justify its effectiveness, respectively.