Based　on　Takagi-Sugeno　(T-S)　fuzzy　model　and　Bernoulli　random　binary　distribution　technique,　the　problem　of　designing　a　dissipative　fuzzy　networked　filter　for　a　class　of　nonlinear　systems　with　stochastic　delays　is　studied.　A　linear　matrix　inequality　(LMI)　approach　is　developed　to　obtain　the　parameters　of　a　fuzzy　dissipative　filter,　which　guarantees　that　the　filter　error　systems　are　exponentially　mean-square　stable　and　strictly　dissipative.　A　numerical　example　is　provided　to　illustrate　the　developed　design.