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This paper addresses the problem of fuzzy robust decentralized control for a class of nonlinear large-scale systems in the presence of parametric uncertainties. The Takagi-Sugeno (T-S) fuzzy system is adopted for modeling such systems, and fuzzy state feedback decentralized controller is developed. Sufficient conditions are derived for robust stabilization and formulated in the format of linear matrix inequalities (LMIs). The effectiveness of the proposed fuzzy controller is finally demonstrated through numerical simulations on a two-machine interconnected system.