A new two-step method called Virtual Gap Analysis uses linear programming to rank alternatives using both cardinal and ordinal data. The researchers designed these models to mitigate subjective bias and data diversity issues. This pessimistic assessment approach provides a more conservative ranking mechanism. Practitioners can now integrate qualitative and quantitative criteria with higher precision.