In conclusion, our research has demonstrated through a quaternary fragrance case study the feasibility of the proposed probabilistic approach for predicting olfactory families of fragranced mixtures. By systematically identifying, quantifying, and incorporating uncertainties in both the perfume diffusion and odor classification models, we have laid the foundation for more robust fragrance design and formulation. It offers a valuable tool for perfumers and fragrance designers, enabling them to assign probabilities to olfactory responses and customize fragrances with a higher likelihood of achieving desired sensory experiences.