<p>In this paper, the improved hybrid-triggered filtering problem is investigated for the stochastic switching nonlinear complex networks (NCNs) with multiple fading measurements. Firstly, the improved hybrid-triggered mechanism (HTM) is developed to balance the transmission burden, enhance energy efficiency, and improve the algorithm performance in communication networks. The improved HTM includes the improved dynamic event-triggered mechanism (DETM) and time-triggered mechanism (TTM). The switching of two triggering mechanisms is coordinated through a Bernoulli-distributed stochastic variable. Meanwhile, the nonlinear switching is regulated by a corresponding stochastic variable. Secondly, a diagonal matrix with independent stochastic elements is utilized to describe the phenomenon of multiple fading measurements. In addition, a novel recursive filtering (RF) scheme is presented subject to the improved HTM and multiple fading measurements. The upper bound (UB) of the filtering error covariance (FEC) is calculated, and the corresponding filter gain matrix is derived. Moreover, the monotonicity is revealed for the probability of multiple fading measurements and the UB matrix. Subsequently, the boundedness for the UB of the FEC is discussed under the specific assumptions. Ultimately, the validity and applicability of the established RF scheme are demonstrated by actual and comparative simulations.</p>