An opinion control rule with minimum adjustments to support the consensus reaching in bounded confidence model Ding, Zhaogang Herrera Viedma, Enrique Opinion dynamics Opinion control rule Consensus model Minimum adjustments Bounded confidence Opinion dynamics provides a modeling tool for the public opinion management. The existing studies mainly focused on building the evolution model of opinions. However, the control of public opinions has been a key problem in practical opinion dynamics. The objective of this paper is to propose an opinion control rule to support the consensus reaching. Based on the bounded confidence model, the consensus model with the minimum adjustment is proposed. Next, based on the proposed consensus model, we propose the opinion control rule to support the consensus reaching. Furthermore, a numerical example is given to illustrate the feasibility of the proposed opinion control rule. Through simulation experiments, we investigate the effects of adjustment thresholds and bounded confidences on the opinion control rule. 2020-12-15T12:09:23Z 2020-12-15T12:09:23Z 2016 info:eu-repo/semantics/article Ding, Z., Liang, H., Dong, Y., Chiclana, F., Herrera-Viedma, E., & Javier Cabrerizo, F. (2016). An opinion control rule with minimum adjustments to support the consensus reaching in bounded confidence model. Promoting Business Analytics and Quantitative Management of Technology: 4th International Conference on Information Technology and Quantitative Management (Itqm 2016), 91, 617-624. doi: 10.1016/j.procs.2016.07.154 http://hdl.handle.net/10481/64919 10.1016/j.procs.2016.07.154 eng http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/openAccess Atribución-NoComercial-SinDerivadas 3.0 España ELSEVIER