<p>The automation of pilot tasks is a critical factor in enhancing flight safety, particularly during takeoff and landing, where improper management of high-lift devices may lead to unsafe conditions. The timing of flap and slat deployment is especially sensitive: delayed actuation increases safety risks, whereas premature deployment reduces fuel efficiency. This paper proposes an intelligent automatic management system for aircraft high-lift devices based on fuzzy logic and inspired by pilot operating procedures. The proposed system estimates the flight phase through a fuzzy inference mechanism and generates control commands for flap and slat positioning as a function of speed, ensuring safe and efficient maneuvering. The main contribution lies in the formulation of two indices, <i>K</i> and <i>T</i>, which formalize pilot safety and efficiency criteria into quantitative metrics. These indices are embedded within a particle swarm optimization (PSO) framework to tune the membership functions of the fuzzy controller, enabling the simultaneous maximization of safety margins and operational efficiency during critical flight phases. The proposed methodology is validated through simulation using Airbus flap configurations and a real flight speed profile. Quantitative results indicate that the system maintains safety margins under the tested disturbance scenarios while ensuring appropriate configuration transitions, thereby demonstrating the feasibility and potential effectiveness of the proposed intelligent control strategy.</p>