<p>This paper proposes an innovative solution for countering deception attacks in nonlinear multi-agent systems (NMASs) characterized by strict feedback and full-state asymmetric constraints. Conventional control designs struggle to access accurate system states in the presence of compromised sensors and controllers, leading to compromised data integrity. A fuzzy state observer is developed for post-attack state estimation to address this challenge. The Nussbaum function is applied to manage uncertain control directions, thereby reducing the effects of attacks. Considering both cooperative and competitive relations among agents, an enhanced nonlinear function is introduced to manage asymmetric full-state constraints, ensuring effective bipartite consensus tracking performance. Fuzzy logic system (FLS) is used to approximate unknown nonlinear functions. In order to reduce the communication burden, an event-triggered control strategy is proposed, and the observer is constructed by using the trigger output signal. Additionally, a control scheme integrating backstepping and dynamic surface control (DSC) technologies achieves asymptotic output consensus post-attacks. Through the application of Lyapunov theory, we ensure that all signals are bounded, leading the tracking error to converge to a region close to the origin. The proposed method is validated by simulation results, which demonstrate its ability to maintain system security and stability despite deception attacks, all while utilizing minimal data and resources.</p>