In　this　paper,　a　dynamic　output　feedback-based　fuzzy　controller　is　developed　for　a　class　of　nonlinear　network　control　system　where　disturbances　and　multiple　random　data　dropouts　exist.　Firstly,　the　network　control　system　is　modeled　using　Takagi-Sugeno　fuzzy　rules.　Meanwhile,　the　defective　communication　links　with　packets　loss　in　both　channels,　from　the　sensor　to　the　controller　and　from　the　controller　to　the　actuator,　are　modeled　by　stochastic　binary　switching　variables　with　known　probability　distributions.　Then,　by　using　linear　matrix　inequality　method,　the　sufficient　conditions　for　the　existence　of　the　fuzzy　controller,　the　fuzzy　robust　controller　are　designed　to　guarantee　the　stability　of　the　closed-loop　system.　©　2017　IEEE.