In this study, we explore the robust H ∞ control for uncertain T-S fuzzy systems with random time-varying delay and packet dropouts. The novel fuzzy model is presented to account for the stochastic nature of delays. A new Lyapunov-Krasovskii functional (LKF) is developed upon a delay decomposition technique. Less conservative results are obtained by segmenting the delay interval and considering the probability distribution within each segment. Once the time-varying delay is known, conservatism is further reduced. We derive two sufficient criteria using reciprocally convex inequalities. A new delay-derivative dependent method is proposed. Unlike previous research, this approach effectively incorporates delay derivative information to build the system with stochastic time-varying delay. The superiority of our approach is thoroughly demonstrated by simulations involving three examples as well as a model of truck-trailer.