With the continuous evolution of mission requirements and system complexity, establishing a scientific and
standardized evaluation framework to guide the design and optimization of typical mission systems has become particularly important. This paper first classifies mainstream methods for constructing indicator systems, including requirement analysisbased methods, systems engineering-based methods, multidisciplinary
integration methods, and simulation feedback methods. Subsequently, common performance evaluation methods are summarized, such as the Analytic Hierarchy Process (AHP), fuzzy comprehensive evaluation method, and multi-attribute decisionmaking method. By comparing these methods in terms of applicability,
accuracy, and adaptability, this paper reveals the current challenges faced by indicator systems in terms of standardization and dynamic adaptability. Finally, future research directions are proposed, emphasizing the integration of intelligent evaluation algorithms and the construction of mission-oriented indicator
systems. This review aims to provide theoretical guidance and technical support for the performance evaluation of modern mission systems.

mission system,performance evaluation,index system,intelligent assessment