This paper investigates the application of a Takagi-Sugeno (T-S) fuzzy model-based consensus control strategy for multi-agent systems subject to uncertainties. Leveraging the advantages of T-S fuzzy models in handling uncertain nonlinear systems, each agent is represented using an uncertain T-S fuzzy model. The paper proposes stability conditions in terms of Linear Matrix Inequalities (LMIs) to achieve consensus in multi-agent systems, even in the presence of uncertainties. Simulation results are provided to demonstrate the effectiveness of the proposed approach. © 2024 The Authors. This is an open access article under the CC BY-NC-ND license.