Fracability evaluation is regarded as the core prerequisite for optimizing fracturing design in shale oil reservoirs. The Chang 7 Member reservoir in the Xiaozhuangke block of Yanchang Oilfield exhibits strong heterogeneity. Its stimulation effectiveness is constrained by multiple geological and engineering factors. A comprehensive evaluation method for dual-sweet-spot fracability based on multi-criteria optimization was proposed to address these challenges. Dimensionality reduction of logging data was performed. Laboratory experiments were conducted. Geological and engineering parameters were differentially optimized. Three types of reservoir sweet spot indicator systems were established, namely interbedded, laminated, and natural fracture types. A weight model was constructed based on the analytic hierarchy process(AHP)-vlsekriterijumska optimizacija i kompromisno resenje(VIKOR). Finally, the fracability results were classified and categorized using kernel density estimation. Practical application shows that this model can accurately quantify the fracability grade of reservoirs. It guides the optimization of fracturing targets. It provides theoretical support for the efficient development of complex shale oil reservoirs.