The robust stability problem of stochastic fuzzy cellular neural networks with parameter uncertainties and time-
varying delays is investigated. By using fuzzy rules, based on the Lyapunov-Krasovskii method and stochastic stability
theory, combining with the the free weight matrix technique, the sufficient condition for making the system robustly stable
is given and derived. All results are given in terms of linear matrix inequalities(LMIs). Numerical example shows the
effectiveness and the low conservation of the proposed method.