<p>This paper explores resilient sampled-data control in networked interval type-2 (IT2) fuzzy systems facing multiple cyber attacks. The objective involves designing a practical but not conservative resilient sampled-data scheme. This scheme is designed to defend against deception attacks while maximizing the use of available DoS attack information within the specified analysis. To achieve this goal, a multiple-cyber-attack model for IT2 fuzzy systems is developed to describe the complex dynamic behavior between network attacks and periodic sampling mechanisms. Next, we create an attack-parameter-dependent Lyapunov–Krasovskii functional that provides less conservative criteria. We derive two sufficient criteria using inequality relaxation method and the convex combination approach to ensure global asymptotic stability of IT2 fuzzy systems with predefined security levels under multiple cyber attacks. In conclusion, two illustrations are given to show the feasibility and efficacy of the envisaged approach.</p>