A new Virtual Gap Analysis (VGA) method uses linear programming to rank alternatives using both cardinal and ordinal data. The two-step approach adopts a pessimistic perspective to reduce subjective bias in Multi-Criteria Decision Making. This framework provides a more rigorous mathematical baseline for practitioners handling mixed-type qualitative and quantitative datasets.