New sufficient conditions are proposed for the existence, uniqueness and global exponential stability of the equilibrium point of a general class of fuzzy cellular neural networks with time-varying delays. The new criteria possess the structure of linear matrix inequalities, which can be solved efficiently by the interior- point algorithm. Theoretical analysis and numerical examples are given to show that the new criteria extend and improve some existing results in the literature.