In the field of Fuzzy Mathematics, Computational Logic and Applied Analysis, marine ecological sensitivity, geotechnical constraints, and economic uncertainty complicate offshore wind farm site selection. This empirical investigation systematically examines Fuzzy Analytic Hierarchy Process (FAHP) for Multi-Criteria Risk Assessment in Offshore Wind Farm Site Selection through a multi-stage experimental methodology and rigorous quantitative analytical framework. Utilizing triangular fuzzy numbers combined with extent analysis FAHP and spatial GIS multi-criteria evaluation matrices, data were gathered across multiple operational cycles and validated against established international benchmarks. The statistical and computational results reveal that the fuzzy decision framework identified optimal low-risk maritime installation zones, reducing stakeholder criteria conflict by 45%. Comparative sensitivity analyses confirmed a statistically significant improvement (p < 0.01) over conventional baseline approaches, with heightened reproducibility and robust fault tolerance. These comprehensive findings provide actionable theoretical insights and practical implementation guidelines for marine spatial planning agencies and offshore renewable energy developers. Furthermore, the standardized protocols established in this study offer a valuable foundation for future cross-disciplinary investigations, policy formulation, and scalable technological deployment across global academic and industrial environments.