A new Virtual Gap Analysis (VGA) framework uses linear programming to rank alternatives using both cardinal and ordinal data. The two-step method adopts a pessimistic perspective to reduce subjective bias and parameter imprecision. This approach provides a more rigorous mathematical foundation for decision-making tasks involving mixed-type qualitative and quantitative criteria.