A new Virtual Gap Analysis model uses linear programming to rank alternatives using both cardinal and ordinal data. This two-step method adopts a pessimistic perspective to reduce subjective bias in decision-making. It solves precision issues common in standard MCDM methods. Practitioners can now integrate qualitative and quantitative criteria more reliably into complex assessment workflows.