As platforms age, ensuring their continued integrity becomes increasingly. The current life extension and repair decision-making processes within ageing platforms are typically based on the DHGF algorithm, which was established in order to provide reasonable predictions about the lifespan of ageing platforms, make accurate repair decisions, and reduce risks related to uncertain and complicated environments. The algorithm contains 18 indicators based on the Delphi method, which together-build a complete evaluation system. In this study, the hierarchical structures were established by analyzing and adjusting four dimensions - project factors, risk factors, load factors, and structural factors, and all of them affect the ageing platform service state. The Analytic Hierarchy Process determined a weighted subset. Gray weights were calculated using the gray model theory, and fuzzy mathematics was then applied to form grade evaluation for the ageing platform. A complete evaluation criterion for life extension and repair decision-making was established, and the comprehensive score was calculated by a sequence of computational steps. Analysis showed that the decision making of this platform is ‘Major repair’, fatigue cracks, corrosion, and marine fouling—these factors must be addressed first. The results confirm that the proposed model accurately describes the dynamic, economic lifespan of ageing platforms.