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This paper focuses on the large-scale stochastic nonlinear systems with bounded uncertainties in the strict-feedback form. The interconnections are bounded by strong nonlinear functions. The problem we address is to design a decentralized adaptive controller such that the closed-loop, large-scale, interconnected stochastic nonlinear system with bounded uncertainties is globally stable in probability. It is shown that the decentralized global stabilization via output feedback can be solved by a Lyapunov-based recursive design method.