Missile Quality State Assessment Algorithm Based on Improved Evidence Theory Under Uncertain Conditions

Addressing the current limitations in missile condition assessment, this paper conducts a thorough analysis of the characteristics of missile quality state parameters. Based on this analysis, a comprehensive missile quality state parameter system is established, which categorizes the missile quality state into four distinct levels: excellent, normal, cautionary, and deteriorating. To further enhance assessment accuracy, this paper presents a multi-indicator fusion missile quality state assessment method based on an improved DS evidence theory. In response to the challenges faced by traditional DS evidence theory in missile quality state assessment, such as unreasonable evidence source weight allocation, difficulties in handling unknown information during synthesis, and inadequate conflict resolution mechanisms, this paper, after a detailed review of existing improvement strategies, innovatively adopts weight coefficients of state parameters to optimize the original evidence sources. Additionally, adhering to the principle that global conflicts should be localized to specific conflict focal elements, targeted improvements are made to the evidence theory. Through case studies, this paper not only demonstrates the effectiveness of the proposed improved method in tackling the complexities of missile quality state assessment but also showcases the accuracy and reliability of the designed missile quality state assessment method.