Robust minimum cost consensus modeling with an application to green supply chain management

This paper introduces a robust minimum fuzzy consensus model (MCFCM) utilizing a quadratic cost function. The quadratic cost function enables a more precise representation of how opinion modifications affect consensus cost. We employ robust optimization (RO) methods to mitigate the risks brought by uncertainty and construct three robust MCFCMs under different unit adjustment uncertainty scenarios. We validate the effectiveness of the proposed model with an application to green supply chain management.