A self-management mechanism to manage noncooperative behaviors in LGDM-based supply chain risk mitigation Zhao, Sihai Dong, Yucheng Zhang, Hengjie Chiclana Parrilla, Francisco Herrera Viedma, Enrique Consensus reaching process Large-scale group decision making Non-cooperative behaviors Supply chain risk mitigation Self-management mechanism Large-scale group decision making (LGDM) is becoming more and more common, and how to assure the security and quality of the decision making process has become a hot topic. Supply chain risk mitigation is a complex LGDM problem involving in many stakeholders. In the decision making process, a group of experts aims at reaching a consensus among alternatives in which non-cooperative behaviors often appear. Some experts might designedly form a small alliance and change their preferences in a direction against consensus with the aim to foster the alliance’s own interests. In this study, we present a novel large-scale consensus reaching framework based on a selfmanagement mechanism to manage non-cooperative behaviors. In the proposed framework, experts are classified into different subgroups using a clustering method, and they provide their evaluation information, i.e., the multi-criteria mutual evaluation matrices (MCMEMs), regarding the obtained subgroups based on their performance. The subgroups’ weights are generated dynamically from the MCMEMs, which are in turn used to update experts’ weights. This mechanism allows penalizing the weights of the experts with non-cooperative behaviors. Detailed comparison analysis is presented to verify the validity of the proposed consensus framework for supply chain risk mitigation. 2020-12-17T11:50:27Z 2020-12-17T11:50:27Z 2018 info:eu-repo/semantics/conferenceObject S. Zhao, Y. Dong, H. Zhang, F. Chiclana and E. Herrera-Viedma, "A Self-Management Mechanism to Manage Non-cooperative Behaviors in LGDM-Based Supply Chain Risk Mitigation," 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Miyazaki, Japan, 2018, pp. 3307-3312, [doi: 10.1109/SMC.2018.00560] http://hdl.handle.net/10481/64980 10.1109/SMC.2018.00560 eng http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/openAccess Atribución-NoComercial-SinDerivadas 3.0 España IEEE