A dynamic feedback mechanism with attitudinal consensus threshold for minimum adjustment cost in group decision making Sun, Qi Chiclana Parrilla, Francisco Fujita, Hamido Herrera Viedma, Enrique Group decision making Dynamic feedback mechanism Attitudinal consensus threshold This work was supported in part by the National Natural Science Foundation of China (NSFC) under Grant 71971135, Grant 71571166, Grant 72071056, and Grant 71910107002, in part by the Innovative Talent Training Project of Graduate Students in Shanghai Maritime University of China under Grant 2019YBR017, and in part by the Spanish State Research Agency under Project PID2019-103880RB-I00/AEI/10.13039/501100011033. This article presents a theoretical framework for a dynamic feedback mechanism in group decision making (GDM) by the implementation of an attitudinal consensus threshold (ACT) to generate recommendation advice for the identified inconsistent experts with the aim to increase consensus. The novelty of the approach resides in its ability to implement the ACT continuously, which allows the covering of all possible consensus states of the group from its minimum to maximum consensus degrees. Therefore, it can be flexibly applied to GDM problems with different consistency requirements. A sensitivity analysis method with visual simulation is proposed to support the checking of the numbers of experts involved in the feedback process and the minimum adjustment cost associated with the different ACT intervals. Experimental results show that an increase in the ACT value will lead to an increase in the number of experts and adjustment cost involved in the feedback process. Eventually, a numerical example is included to simulate the feedback process under various decision making scenarios with different ACT intervals. 2022-05-25T06:20:58Z 2022-05-25T06:20:58Z 2020 journal article Published version: Q. Sun... [et al.]. "A Dynamic Feedback Mechanism With Attitudinal Consensus Threshold for Minimum Adjustment Cost in Group Decision Making," in IEEE Transactions on Fuzzy Systems, vol. 30, no. 5, pp. 1287-1301, May 2022, doi: [10.1109/TFUZZ.2021.3057705] http://hdl.handle.net/10481/74974 eng http://creativecommons.org/licenses/by-nc-nd/3.0/es/ open access Atribución-NoComercial-SinDerivadas 3.0 España IEEE